Full Code of BlinkDL/ChatRWKV for AI

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Repository: BlinkDL/ChatRWKV
Branch: main
Commit: e128cd9d2a54
Files: 60
Total size: 9.2 MB

Directory structure:
gitextract_sze30cz2/

├── .github/
│   └── FUNDING.yml
├── .gitignore
├── 20B_tokenizer.json
├── API_DEMO.py
├── API_DEMO_CHAT.py
├── API_DEMO_WORLD.py
├── LICENSE
├── README.md
├── RWKV_in_150_lines.py
├── RWKV_v5_demo.py
├── RWKV_v6_demo.py
├── RWKV_v6_demo_cuda_bf16.py
├── chat.py
├── misc/
│   └── lambada_test.jsonl
├── music/
│   ├── run.py
│   ├── sample-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   ├── sample2-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   ├── sample3-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   └── tokenizer-midi.json
├── requirements.txt
├── run_lm_eval.py
├── rwkv_pip_package/
│   ├── LICENSE
│   ├── MANIFEST.in
│   ├── README.md
│   ├── pyproject.toml
│   └── src/
│       └── rwkv/
│           ├── __init__.py
│           ├── cuda/
│           │   ├── gemm_fp16_cublas.cpp
│           │   ├── operators.cu
│           │   ├── rwkv5.cu
│           │   ├── rwkv5_op.cpp
│           │   ├── rwkv6.cu
│           │   ├── rwkv6_op.cpp
│           │   ├── rwkv7.cu
│           │   ├── rwkv7_op.cpp
│           │   └── wrapper.cpp
│           ├── model.py
│           ├── rwkv_tokenizer.py
│           ├── rwkv_vocab_v20230424.txt
│           └── utils.py
├── rwkv_state_merger.py
├── src/
│   ├── model_run.py
│   └── utils.py
├── tokenizer/
│   ├── rwkv_tokenizer.py
│   └── rwkv_vocab_v20230424.txt
└── v2/
    ├── 20B_tokenizer.json
    ├── benchmark.py
    ├── benchmark_more.py
    ├── benchmark_world.py
    ├── chat.py
    ├── convert_model.py
    └── prompt/
        └── default/
            ├── Chinese-1.py
            ├── Chinese-2.py
            ├── English-0.py
            ├── English-1.py
            ├── English-2.py
            ├── English-3.py
            ├── English-4.py
            ├── English-5.py
            ├── Japanese-1.py
            └── Japanese-2.py

================================================
FILE CONTENTS
================================================

================================================
FILE: .github/FUNDING.yml
================================================
ko_fi: rwkv_lm


================================================
FILE: .gitignore
================================================
test/
bak/

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/


================================================
FILE: 20B_tokenizer.json
================================================
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      "\u00e4\u00ba": 5494,
      "ipe": 5495,
      "Size": 5496,
      "\u0120mo": 5497,
      "Don": 5498,
      "\u0120mill": 5499,
      "\u0120cup": 5500,
      "conne": 5501,
      "\u0120transition": 5502,
      "ota": 5503,
      "uced": 5504,
      "\u0120Associ": 5505,
      "\u0120responsible": 5506,
      "\u00c3\u00a6": 5507,
      "\u0120spin": 5508,
      "indows": 5509,
      "\u0120laug": 5510,
      "\u0120communication": 5511,
      "\u0120approximately": 5512,
      "\u0120explain": 5513,
      "\u0120ded": 5514,
      "\u0120Rober": 5515,
      "\u0120Ham": 5516,
      "\u0120witness": 5517,
      "FT": 5518,
      "icks": 5519,
      "\u0120improved": 5520,
      "orter": 5521,
      "\u0120package": 5522,
      "005": 5523,
      "\u0120bud": 5524,
      "004": 5525,
      "rical": 5526,
      "ruit": 5527,
      "cor": 5528,
      "UM": 5529,
      "soft": 5530,
      "\u0120Oh": 5531,
      "\u0120click": 5532,
      "\u0120bond": 5533,
      "\u0120wood": 5534,
      "\u0120upd": 5535,
      "\u0120heavy": 5536,
      "encing": 5537,
      "igation": 5538,
      "ensuremath": 5539,
      "\u012036": 5540,
      "\u0120lip": 5541,
      "\u0120stream": 5542,
      "AND": 5543,
      "\u0120explained": 5544,
      "\u0120doubt": 5545,
      "car": 5546,
      "\u0120successful": 5547,
      "},\\": 5548,
      "\u0120na": 5549,
      "\u0120(\"": 5550,
      "produ": 5551,
      "\u0120List": 5552,
      "\u0120radio": 5553,
      "?'": 5554,
      "osing": 5555,
      "\u0120optim": 5556,
      "\u0120rout": 5557,
      "\u0120liquid": 5558,
      "\u0120Google": 5559,
      "count": 5560,
      "\u0120rock": 5561,
      "\u00c2\u0142\u00c2\u0142\u00c2\u0142\u00c2\u0142": 5562,
      "\u0120mig": 5563,
      "title": 5564,
      "\u0120bacter": 5565,
      "\u0120Off": 5566,
      "istant": 5567,
      "ban": 5568,
      "\u0120lock": 5569,
      "\u0120agent": 5570,
      "\u012070": 5571,
      "\u0120operator": 5572,
      "\u0120occup": 5573,
      "circ": 5574,
      "\u0120alleged": 5575,
      "ographic": 5576,
      "mathfrak": 5577,
      "\u0120PC": 5578,
      "\u0120TV": 5579,
      "\u0120sell": 5580,
      "php": 5581,
      "han": 5582,
      "\u0120recommend": 5583,
      "/(-": 5584,
      "agement": 5585,
      "\u0120para": 5586,
      "\u0120Spec": 5587,
      "\u00c4\u00b1": 5588,
      "ldots": 5589,
      "hal": 5590,
      "\u0120UK": 5591,
      "\u0120commerc": 5592,
      "\u0120measures": 5593,
      "java": 5594,
      "\u0120Most": 5595,
      "appa": 5596,
      "\u0120dismiss": 5597,
      "parent": 5598,
      "\u0120guy": 5599,
      "\u0120transl": 5600,
      "\u0120prepar": 5601,
      "\u0120Mac": 5602,
      "\u0120park": 5603,
      "\u0120certainly": 5604,
      "\u0120wants": 5605,
      "\u0120evolution": 5606,
      "EE": 5607,
      "\u0120served": 5608,
      "\u0120techniques": 5609,
      "anging": 5610,
      "\u0120introduced": 5611,
      "\u0120Rich": 5612,
      "\u0120\u00cf\u0126": 5613,
      "asma": 5614,
      "\u0120sexual": 5615,
      "lem": 5616,
      "\u00c4\u0123": 5617,
      "';": 5618,
      "\u0120Sy": 5619,
      "cin": 5620,
      "\u0120forces": 5621,
      "Bl": 5622,
      "Sub": 5623,
      "/(": 5624,
      "\u0120International": 5625,
      "ALL": 5626,
      "*)": 5627,
      "\u0120Chinese": 5628,
      "ario": 5629,
      "ride": 5630,
      "\u0120Govern": 5631,
      "imony": 5632,
      "\u0120Jer": 5633,
      "\u0120legis": 5634,
      "\u0120Ev": 5635,
      "\u0120convers": 5636,
      "\u0120electric": 5637,
      "........": 5638,
      "\u0120foreign": 5639,
      "\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 5640,
      "space": 5641,
      "\u0120CH": 5642,
      "tre": 5643,
      "\u0120leads": 5644,
      "\u0120expand": 5645,
      "ubuntu": 5646,
      "\"/>": 5647,
      "SH": 5648,
      "\u0120benefit": 5649,
      "ura": 5650,
      "rian": 5651,
      "ferent": 5652,
      "False": 5653,
      "\u0120gun": 5654,
      "bolds": 5655,
      "ANT": 5656,
      "\u0120tools": 5657,
      "you": 5658,
      "\u0120programs": 5659,
      "icial": 5660,
      "\u0120experimental": 5661,
      "\u0120older": 5662,
      "\u0120belong": 5663,
      "boldsymbol": 5664,
      "\u0120surround": 5665,
      "enced": 5666,
      "\u0120essential": 5667,
      "nb": 5668,
      "\u0120insert": 5669,
      "ascular": 5670,
      "itect": 5671,
      "true": 5672,
      "\u0120interface": 5673,
      "\u0120nation": 5674,
      "\u0120growing": 5675,
      "\u00ce\u00ba": 5676,
      "Out": 5677,
      "\u0120combined": 5678,
      "\u0120Jew": 5679,
      "\u0120border": 5680,
      "going": 5681,
      "\u0120Dan": 5682,
      "Up": 5683,
      "\u0120defense": 5684,
      "\u0120German": 5685,
      "\u0120born": 5686,
      "\u0120Press": 5687,
      "lication": 5688,
      "\u0120RE": 5689,
      "\u00e4\u00bb": 5690,
      "\u0120challenge": 5691,
      "rient": 5692,
      "\u012048": 5693,
      "\u0120motor": 5694,
      "image": 5695,
      "LA": 5696,
      "\u0120ideas": 5697,
      "\u0120vent": 5698,
      "\u0120huge": 5699,
      "\u0120strategy": 5700,
      "\u0120comments": 5701,
      "\u0120professional": 5702,
      "Read": 5703,
      "etry": 5704,
      "\u0120subjects": 5705,
      "\u0120Att": 5706,
      "CON": 5707,
      "\u0120kin": 5708,
      "[\\": 5709,
      "idem": 5710,
      "vo": 5711,
      "\u0120Rel": 5712,
      "\u0120fib": 5713,
      "itivity": 5714,
      "(),": 5715,
      "({\\": 5716,
      "\u0120thank": 5717,
      "\u0120storage": 5718,
      "mail": 5719,
      "\u0120Street": 5720,
      "\u0120Fe": 5721,
      "\u0120award": 5722,
      "\u0120neur": 5723,
      "\u0120monitor": 5724,
      "orrow": 5725,
      "pers": 5726,
      "\u0120whereas": 5727,
      "\u0120collected": 5728,
      "\u0120Pre": 5729,
      "\u0120wish": 5730,
      "\u0120update": 5731,
      "urrent": 5732,
      "\u0120Add": 5733,
      "\u0120unless": 5734,
      "idel": 5735,
      "PT": 5736,
      "**)": 5737,
      "ua": 5738,
      "\u0120stock": 5739,
      "\u0120description": 5740,
      "ita": 5741,
      "\u0120specifically": 5742,
      "\u0120activation": 5743,
      "raz": 5744,
      "\u0120sav": 5745,
      "arant": 5746,
      "\u0120despite": 5747,
      "\u0120optical": 5748,
      "\u0120\"[": 5749,
      "\u0120advantage": 5750,
      "kt": 5751,
      "\u0120serve": 5752,
      "\u0120kids": 5753,
      "\u0120prison": 5754,
      "icity": 5755,
      "chen": 5756,
      "ART": 5757,
      "open": 5758,
      "\u0120Congress": 5759,
      "\u0120controls": 5760,
      "\u0120Two": 5761,
      "\u0120tested": 5762,
      "\u0120exercise": 5763,
      "Lambda": 5764,
      "\u0120vert": 5765,
      "\u0120empt": 5766,
      "\u0120Miss": 5767,
      "\u0120summer": 5768,
      "\u0120Sam": 5769,
      "\u0120mg": 5770,
      "\u0120RNA": 5771,
      "\u0120kid": 5772,
      "ulf": 5773,
      ".](": 5774,
      "othing": 5775,
      "\u00ce\u00bb": 5776,
      "\u0120slightly": 5777,
      "\u0120delay": 5778,
      "\u0120Post": 5779,
      "\u0120remaining": 5780,
      "aa": 5781,
      "\u0120proport": 5782,
      "\u0120confirmed": 5783,
      "rd": 5784,
      "Reg": 5785,
      "otimes": 5786,
      "\u0120molecular": 5787,
      "\u0120survival": 5788,
      ")/(-": 5789,
      "\u00d0\u00be\u00d0\u00b2": 5790,
      "\u0120East": 5791,
      "lt": 5792,
      "\u0120chemical": 5793,
      "\u0120Mart": 5794,
      "\u0120alternative": 5795,
      "\u0120pal": 5796,
      "eds": 5797,
      "\u0120cat": 5798,
      "\u0120distinct": 5799,
      "isd": 5800,
      "hi": 5801,
      "\u0120induced": 5802,
      "\u0120NOT": 5803,
      "Can": 5804,
      "ipment": 5805,
      "\u0120filter": 5806,
      "\u0120sch": 5807,
      "\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 5808,
      "\u0120vac": 5809,
      "\u0120characters": 5810,
      "ows": 5811,
      "\u0120NULL": 5812,
      "\u0120fif": 5813,
      "\u010a\u010a\u0120\u0120\u0120\u0120\u0120": 5814,
      "\u0120Each": 5815,
      "\u0120missing": 5816,
      "\u00e2\u0122\u00a2": 5817,
      "\u0120ring": 5818,
      "\u0120Circ": 5819,
      "\u0120workers": 5820,
      "\u0120agreed": 5821,
      "\u0120\u00d0\u00b8": 5822,
      "\u0120mm": 5823,
      "SI": 5824,
      "\u0120nut": 5825,
      "\u01202005": 5826,
      "\u0120plans": 5827,
      "\u0120vel": 5828,
      "osc": 5829,
      "ba": 5830,
      "0001": 5831,
      "\u00e3\u0124\u012d": 5832,
      "\u0120complaint": 5833,
      "\u0120catch": 5834,
      "\u0120drugs": 5835,
      "\u0120CON": 5836,
      "isation": 5837,
      "\u0120Note": 5838,
      "\u0120investigation": 5839,
      "kg": 5840,
      "\u0120calls": 5841,
      "\u0120football": 5842,
      "\u00d9\u0127": 5843,
      "bm": 5844,
      "uing": 5845,
      "\u00d9\u0128": 5846,
      "\u0120pros": 5847,
      "ql": 5848,
      "asure": 5849,
      "Calculate": 5850,
      "AV": 5851,
      "iders": 5852,
      "\u0120technique": 5853,
      "\u0120England": 5854,
      "\u0120weap": 5855,
      "Context": 5856,
      "\u0120entry": 5857,
      "pass": 5858,
      "\u0120science": 5859,
      "onna": 5860,
      "\u0120records": 5861,
      "\u0120absor": 5862,
      "\u0120Up": 5863,
      "\u0120association": 5864,
      "\u0120digital": 5865,
      "\u0120occurred": 5866,
      "\u0120analyzed": 5867,
      "\u0120denied": 5868,
      "\u0120surgery": 5869,
      "\u0120families": 5870,
      "\u0120operations": 5871,
      "Then": 5872,
      "dden": 5873,
      "\u0120Wil": 5874,
      "\u0120healthy": 5875,
      "\u0120affected": 5876,
      "\u0120holding": 5877,
      "\u0120mix": 5878,
      "\u0109\u0109\u0109\u0109": 5879,
      "\u0120cycle": 5880,
      "edom": 5881,
      "\u0120firm": 5882,
      "CM": 5883,
      "\u0120minor": 5884,
      "\u0120rul": 5885,
      "\u0120relation": 5886,
      "\u0120Sup": 5887,
      "\u0120encour": 5888,
      "\u0120composition": 5889,
      "\u0120warm": 5890,
      "\u00e3\u0123\u0139": 5891,
      "Exp": 5892,
      "\u0120animal": 5893,
      "zon": 5894,
      "itis": 5895,
      "riage": 5896,
      "\u0120tempor": 5897,
      "\u0120\u00ce\u00b1": 5898,
      "\u0120traditional": 5899,
      "\u0120cardi": 5900,
      "\u0120Group": 5901,
      "pc": 5902,
      "check": 5903,
      "izations": 5904,
      "coh": 5905,
      "actor": 5906,
      "\u0120offered": 5907,
      "\u0120officer": 5908,
      "\u0120opening": 5909,
      "\u012034": 5910,
      "elled": 5911,
      "\u0120probability": 5912,
      "\u0120whatever": 5913,
      "kin": 5914,
      "CO": 5915,
      "arp": 5916,
      "\u0120symptoms": 5917,
      "\u0120gal": 5918,
      "\u0120efficient": 5919,
      "\u0120frag": 5920,
      "\u0120correlation": 5921,
      "\u012033": 5922,
      "\u0120instr": 5923,
      "itled": 5924,
      "fected": 5925,
      "\u0120drop": 5926,
      "\u0120minimum": 5927,
      "\u0120absence": 5928,
      ".*": 5929,
      "ignment": 5930,
      "\u0120chain": 5931,
      "}}{": 5932,
      "\u0120algorithm": 5933,
      "istory": 5934,
      "\u0120TO": 5935,
      "\u0120suggests": 5936,
      "\u0120chrom": 5937,
      "\u0120husband": 5938,
      "\u0120distributed": 5939,
      "\u0120una": 5940,
      "\u00e5\u0131": 5941,
      "DS": 5942,
      "gs": 5943,
      "\u0120corpor": 5944,
      "ander": 5945,
      "iat": 5946,
      "\u0120cir": 5947,
      "\u0120society": 5948,
      "Event": 5949,
      "\u0120recorded": 5950,
      "\u0120trig": 5951,
      "\u0120Found": 5952,
      "inity": 5953,
      "antly": 5954,
      "\u0120discussion": 5955,
      "\u0120comfort": 5956,
      "resents": 5957,
      "\u0120rank": 5958,
      "\u00e6\u013e": 5959,
      "}-": 5960,
      "\u0120bone": 5961,
      "\u0120biggest": 5962,
      "\u0120judge": 5963,
      "PO": 5964,
      "\u0120hol": 5965,
      "\u0120entered": 5966,
      "house": 5967,
      "\u0120spirit": 5968,
      "rich": 5969,
      "ologies": 5970,
      "\u0120classes": 5971,
      "\u0120herself": 5972,
      "ya": 5973,
      "\u0120student": 5974,
      "\u0120conver": 5975,
      "\u012042": 5976,
      "&\\": 5977,
      "\u0120generation": 5978,
      "\u0120Mal": 5979,
      "\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 5980,
      "\u0120format": 5981,
      "\u0120sudden": 5982,
      "'.": 5983,
      "allel": 5984,
      "ki": 5985,
      "\u0120Board": 5986,
      "\u0120https": 5987,
      "\u0120breast": 5988,
      "\u0120circumstances": 5989,
      "GL": 5990,
      "\u00c3\u0142": 5991,
      "det": 5992,
      "BL": 5993,
      "prime": 5994,
      "\u0120symb": 5995,
      "post": 5996,
      "\u0120causes": 5997,
      "\u0120estimated": 5998,
      "\u0120situ": 5999,
      "\u0120Every": 6000,
      "\u0120script": 6001,
      "oz": 6002,
      "\u0120organization": 6003,
      "\u0120Test": 6004,
      "\u0120fra": 6005,
      "^\u00e2\u012a\u0134": 6006,
      "\u0120bill": 6007,
      "\u0120eat": 6008,
      "\u0120faith": 6009,
      "\u0120summary": 6010,
      "ymph": 6011,
      "\u0120derived": 6012,
      "poses": 6013,
      "Act": 6014,
      "\u0120repeated": 6015,
      "\u0120handle": 6016,
      "sem": 6017,
      "\u0120Ke": 6018,
      ".**": 6019,
      "());": 6020,
      "\u0120income": 6021,
      "\u0120Bank": 6022,
      "\u0120Supp": 6023,
      "\u0120external": 6024,
      "alysis": 6025,
      "\u0120bow": 6026,
      "\u00c3\u0139": 6027,
      "UE": 6028,
      "\u0120Ben": 6029,
      "uffer": 6030,
      "\u0120efforts": 6031,
      "\u0120smooth": 6032,
      "thon": 6033,
      "\u0120intended": 6034,
      "ione": 6035,
      "\u0120joint": 6036,
      "\u0120Air": 6037,
      "']": 6038,
      "\u0120Cam": 6039,
      "subset": 6040,
      "\u0120conventional": 6041,
      "otyp": 6042,
      "\u0120Plaintiff": 6043,
      "\u0120volt": 6044,
      "ror": 6045,
      "\u0120noise": 6046,
      "\u0120Ca": 6047,
      "\u0120((": 6048,
      "\u0120Why": 6049,
      "while": 6050,
      "iable": 6051,
      "Per": 6052,
      "\u0120Super": 6053,
      "\u0120rise": 6054,
      "\u0120protection": 6055,
      "lands": 6056,
      "\u0120knows": 6057,
      "gin": 6058,
      "umin": 6059,
      "Index": 6060,
      "\u0120Over": 6061,
      "olar": 6062,
      "\u0120cryst": 6063,
      "\u0120resolution": 6064,
      "Phi": 6065,
      "\u010a\u010a\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 6066,
      "Our": 6067,
      "\u0120guys": 6068,
      "\u0120nuclear": 6069,
      "\u0120extent": 6070,
      "content": 6071,
      "Cs": 6072,
      "ivo": 6073,
      "Info": 6074,
      "Ser": 6075,
      "\u0120cele": 6076,
      "illa": 6077,
      "\u0120\u00c5": 6078,
      "\u0120dry": 6079,
      "Some": 6080,
      "izer": 6081,
      "object": 6082,
      "\u0120agents": 6083,
      "cknow": 6084,
      "\u0120enzym": 6085,
      "\u0120George": 6086,
      "\\|": 6087,
      "\u00e3\u0123\u00a8": 6088,
      "\u0120Well": 6089,
      "esis": 6090,
      "sf": 6091,
      "}}}": 6092,
      "ushed": 6093,
      "\u0120behavi": 6094,
      "\u0120requirements": 6095,
      "\u0120shared": 6096,
      "\u00e2\u0122\u00b2": 6097,
      ":**": 6098,
      "\u0120\u00d0\u00be": 6099,
      "\u0120Lou": 6100,
      "\u0120Any": 6101,
      "\u0120Such": 6102,
      "\u0120strugg": 6103,
      "Sp": 6104,
      "\u0120church": 6105,
      "ivery": 6106,
      "\u0120covered": 6107,
      "\u0120leaving": 6108,
      "\u0120mobile": 6109,
      "\u0120interested": 6110,
      "irty": 6111,
      "\u0120Texas": 6112,
      "cs": 6113,
      "\u0120stars": 6114,
      "\u0120Green": 6115,
      "Rec": 6116,
      "ERS": 6117,
      "ners": 6118,
      "\u0120kit": 6119,
      "\u0120diagnosis": 6120,
      "burg": 6121,
      "\u0120daughter": 6122,
      "\u00e0\u00a5": 6123,
      "Code": 6124,
      "\u0120represents": 6125,
      "\u0120stre": 6126,
      "\u0120patterns": 6127,
      "\u0120responses": 6128,
      "\u0120Di": 6129,
      "greg": 6130,
      "\u0120offers": 6131,
      "\u0120election": 6132,
      "ilit": 6133,
      "eless": 6134,
      "\u0120doll": 6135,
      "isted": 6136,
      "\u0120decreased": 6137,
      "\u0120announced": 6138,
      "\u0120implic": 6139,
      "Pr": 6140,
      "\u0120///": 6141,
      "\u0120reb": 6142,
      "apers": 6143,
      "\u0120Canada": 6144,
      "acebook": 6145,
      "\u0120north": 6146,
      "yr": 6147,
      "van": 6148,
      "\u0120earth": 6149,
      "\u0120sea": 6150,
      "rees": 6151,
      "\u0120credit": 6152,
      "\u0120creating": 6153,
      "------------------------------------------------": 6154,
      "Config": 6155,
      "va": 6156,
      "\u01202004": 6157,
      "\u0120latter": 6158,
      "BI": 6159,
      "specific": 6160,
      "\u0120coe": 6161,
      "\u0120Port": 6162,
      "cks": 6163,
      "\u0120anc": 6164,
      "kappa": 6165,
      "\u0120Under": 6166,
      "\u0120regist": 6167,
      "het": 6168,
      "ville": 6169,
      "night": 6170,
      "\u0120employees": 6171,
      "block": 6172,
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      "\u0120narrow": 6891,
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      "\u0120transcript": 7045,
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      "\u0120strongly": 7052,
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      "\u00e5\u0127": 7056,
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      "\u0120smart": 7060,
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      "\u0120Sum": 7069,
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      "\u0120defect": 7071,
      "\u00ce\u00b3": 7072,
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      "\u0120batter": 7074,
      "\u0120terror": 7075,
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      "\u0120+=": 7079,
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      "\u0120hell": 7085,
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      "\u0120Nor": 7087,
      "\u0120Good": 7088,
      "\u0120decisions": 7089,
      "\u00c4\u012f": 7090,
      "\u0120employed": 7091,
      "\u0120implementation": 7092,
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      "\u0120entirely": 7094,
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      "\u0120Americans": 7108,
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      "\u00e4\u00bd": 7111,
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      "\u0120d\u00c3\u00a9": 7113,
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      "\u0120discrim": 7134,
      "select": 7135,
      "\u00cf\u012e": 7136,
      "\u0120traffic": 7137,
      "\u0120brand": 7138,
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      "\u0120corner": 7145,
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      "\u0120percentage": 7155,
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      "\u0120advance": 7170,
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      "\u00e1\u0122": 7183,
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      "\u0120Ver": 7188,
      "\u0120incub": 7189,
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      "\u0120worse": 7197,
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      "\u0120accuracy": 7200,
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      "\u0120spring": 7203,
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      "\u0120manager": 7205,
      "\u0120oblig": 7206,
      "\u0120philos": 7207,
      "\u0120frequently": 7208,
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      "\u0120notes": 7211,
      "\u0120formula": 7212,
      "\u0120Wed": 7213,
      "\u0120Only": 7214,
      "agger": 7215,
      "\u0120Monday": 7216,
      "\u0120violence": 7217,
      "\u0120metabol": 7218,
      "\u0120planning": 7219,
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      "\u0120Book": 7225,
      "\u00e1\u0125": 7226,
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      "\u0120regulation": 7248,
      "\u00e5\u00a4": 7249,
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      "\u012065": 7251,
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      "\u0120administr": 7255,
      "\u00c3\u00b8": 7256,
      "\u0120deliver": 7257,
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      "\u0120tor": 7263,
      "\u0120guarant": 7264,
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      "\u0120considering": 7296,
      "\u00e7\u0136": 7297,
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      "anta": 7300,
      "\u0120bool": 7301,
      "\u0120owner": 7302,
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      "Solve": 7304,
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      "\u0120Cr": 7306,
      "\u00c2\u00b6": 7307,
      "\u010a\u0109\u0109\u0109\u0109\u0109": 7308,
      "\u0120CI": 7309,
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      "\u0120observations": 7313,
      "\u0120advert": 7314,
      "\u0120television": 7315,
      "\u0120query": 7316,
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      "\u00c5\u00a1": 7326,
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      "\u0120conflict": 7344,
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      "\u0120Ann": 7359,
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      "\u0120equations": 7424,
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      "clusive": 7426,
      "\u00d8\u00a7\u00d9\u0126": 7427,
      "\u0120walked": 7428,
      "\u0120entitled": 7429,
      "rypt": 7430,
      "\u0120candidate": 7431,
      "sin": 7432,
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      "height": 7436,
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      "imer": 7438,
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      "anda": 7447,
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      "\u012000": 7449,
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      "\u0120300": 7469,
      "\u0120suitable": 7470,
      "\u0120purchase": 7471,
      "\u0120evaluate": 7472,
      "\u0120formal": 7473,
      "Message": 7474,
      "Gen": 7475,
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      "\u0120oxid": 7495,
      "\u0120guard": 7496,
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      "Rev": 7498,
      "\u0120FR": 7499,
      "\u0120TR": 7500,
      "\u0120warrant": 7501,
      "nesday": 7502,
      "\u0120virtual": 7503,
      "External": 7504,
      "\u0120bug": 7505,
      "({": 7506,
      "comple": 7507,
      "\u00d0\u00b5\u00d1\u0124": 7508,
      "product": 7509,
      "Fe": 7510,
      "\u0120Lu": 7511,
      "\u0120photo": 7512,
      "lik": 7513,
      "\u0120concerned": 7514,
      "\u0120assessed": 7515,
      "\u0120luck": 7516,
      "\u0120mission": 7517,
      "\u0120Hel": 7518,
      "CK": 7519,
      "\u0120rare": 7520,
      "\u00e2\u0122\u013f,": 7521,
      "\u0120fill": 7522,
      "war": 7523,
      "\u0120{{\\": 7524,
      "\u0120conclude": 7525,
      "anning": 7526,
      "scale": 7527,
      "\u0120Bre": 7528,
      "\u0120parallel": 7529,
      "ugin": 7530,
      "\u0120Africa": 7531,
      "\u0120Mass": 7532,
      "\u0120settings": 7533,
      "\u0120biological": 7534,
      "\u0120advice": 7535,
      "Box": 7536,
      "\u0120sand": 7537,
      "GE": 7538,
      "\u0120\u00c2\u00ab": 7539,
      "iples": 7540,
      "andon": 7541,
      "Since": 7542,
      "\u012047": 7543,
      "\u01201999": 7544,
      "iences": 7545,
      "ulture": 7546,
      "\"})": 7547,
      "\u0120boundary": 7548,
      "rency": 7549,
      "\u0120cris": 7550,
      "orted": 7551,
      "\u0120becoming": 7552,
      "tw": 7553,
      "300": 7554,
      "del": 7555,
      "icious": 7556,
      "Line": 7557,
      "\u0120claimed": 7558,
      "Ge": 7559,
      "\u0120spoke": 7560,
      "\u0120widely": 7561,
      "\u0120keeping": 7562,
      "\u0120budget": 7563,
      "ben": 7564,
      "\u0120Earth": 7565,
      "ainer": 7566,
      "\u0120Ref": 7567,
      "\u0120demonstrate": 7568,
      "\u0120knock": 7569,
      "INE": 7570,
      "\u0120jurisdiction": 7571,
      "fess": 7572,
      "Te": 7573,
      "\u0120fort": 7574,
      "PU": 7575,
      "\u0120accompl": 7576,
      "adian": 7577,
      "\u0120consent": 7578,
      "\u0120remark": 7579,
      "Ent": 7580,
      "\u0120conven": 7581,
      "author": 7582,
      "\u0120favorite": 7583,
      "\u012049": 7584,
      "web": 7585,
      "\u0120sister": 7586,
      "\u0120trials": 7587,
      "ami": 7588,
      "ju": 7589,
      "\u0120pet": 7590,
      "\u0120unable": 7591,
      "\u0120disk": 7592,
      "\u0120Solve": 7593,
      "never": 7594,
      "\u0120galax": 7595,
      "\u0120trouble": 7596,
      "zeta": 7597,
      "\u0120reprodu": 7598,
      "\u0120adm": 7599,
      "\u0120rats": 7600,
      "\u0120signaling": 7601,
      "\u0120velocity": 7602,
      "aven": 7603,
      "tra": 7604,
      "\u0120statistical": 7605,
      "usiness": 7606,
      "\u0120accepted": 7607,
      "\u0120Tor": 7608,
      "\u012041": 7609,
      "ijms": 7610,
      "SR": 7611,
      "\u0120Mer": 7612,
      "\u0120hence": 7613,
      "src": 7614,
      "\u0120familiar": 7615,
      "\u0120specified": 7616,
      "\u0120decide": 7617,
      "\u0120Carol": 7618,
      "\u0120dress": 7619,
      "\u00d0\u00b8\u00d1\u0124": 7620,
      "\u0120datas": 7621,
      "\u0120route": 7622,
      "\u0120neck": 7623,
      "\u0120thereby": 7624,
      "\u0120populations": 7625,
      "\u0120java": 7626,
      "\u0120horiz": 7627,
      "}=\\": 7628,
      "\u0120variation": 7629,
      "\u0120domin": 7630,
      "********************************": 7631,
      "\u0120nodes": 7632,
      "\u010a\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 7633,
      "\u0120Bur": 7634,
      "\u0120thr": 7635,
      "\u0120loved": 7636,
      "\u0120ends": 7637,
      "Pol": 7638,
      "ivation": 7639,
      "ums": 7640,
      "\u0120Bill": 7641,
      "\u0120suppl": 7642,
      "\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120\u0120": 7643,
      "\u0120disp": 7644,
      "model": 7645,
      "\u0120template": 7646,
      "La": 7647,
      "\u0120Free": 7648,
      "\u0120mand": 7649,
      "\u0120Appe": 7650,
      "\u0120NO": 7651,
      "\u012043": 7652,
      "\u0120pept": 7653,
      "\u0120strict": 7654,
      "otted": 7655,
      "TA": 7656,
      "Simplify": 7657,
      "\u0120constraint": 7658,
      "\u0120Dec": 7659,
      "\u0120attached": 7660,
      "\u0120revers": 7661,
      "roduction": 7662,
      "\u0120recording": 7663,
      "\u0120worry": 7664,
      "\u0120alcohol": 7665,
      "ernel": 7666,
      "\u0120Gal": 7667,
      "\u0120involving": 7668,
      "AGE": 7669,
      "\u0120Jesus": 7670,
      "\u0120Federal": 7671,
      ")*(": 7672,
      "More": 7673,
      "\u0120cab": 7674,
      "lu": 7675,
      "Ref": 7676,
      "\u0120stret": 7677,
      "\u00c3\u00a9e": 7678,
      "\u00c5\u0124": 7679,
      "\u0120contribution": 7680,
      "\u0120technical": 7681,
      "\u0120Den": 7682,
      "velopment": 7683,
      "\u0120os": 7684,
      "legal": 7685,
      "idelines": 7686,
      "\u0120od": 7687,
      "\u0120relationships": 7688,
      "End": 7689,
      "\u0120ped": 7690,
      "\u0120cof": 7691,
      "\u0120rub": 7692,
      "cp": 7693,
      "arl": 7694,
      "ching": 7695,
      "ponse": 7696,
      "enance": 7697,
      "grade": 7698,
      "\u0120san": 7699,
      "bug": 7700,
      "\u0120murder": 7701,
      "\u0120encoun": 7702,
      "\u0120seek": 7703,
      "road": 7704,
      "\u0120FIG": 7705,
      "wing": 7706,
      "eller": 7707,
      "iverse": 7708,
      "\u0120cogn": 7709,
      "Mr": 7710,
      "YPE": 7711,
      "\u0120Sing": 7712,
      "ytic": 7713,
      "\u0120manuscript": 7714,
      "\u0120fellow": 7715,
      "NO": 7716,
      "\u0120Times": 7717,
      "cdots": 7718,
      "\u00e5\u0132": 7719,
      "ector": 7720,
      "?\u00e2\u0122\u013f": 7721,
      "MC": 7722,
      "\u0120dans": 7723,
      "\u0120Serv": 7724,
      "\u0120kne": 7725,
      "\u0120interval": 7726,
      "\u0120Richard": 7727,
      "\u0120Ze": 7728,
      "\u0120helps": 7729,
      "\u0120committed": 7730,
      "\u0120customer": 7731,
      "\u0120persons": 7732,
      "\u0120Work": 7733,
      "\u0120};": 7734,
      "\u0120abund": 7735,
      "ogenic": 7736,
      "hentic": 7737,
      "\u0120suggesting": 7738,
      "%.": 7739,
      "\u0120forget": 7740,
      "\u0120resource": 7741,
      "\u0120radiation": 7742,
      "\u0120Secret": 7743,
      "\u0120commonly": 7744,
      "Look": 7745,
      "\u0120telling": 7746,
      "\u0120adults": 7747,
      "(\\[": 7748,
      "110": 7749,
      "false": 7750,
      "\u0120Iran": 7751,
      "sts": 7752,
      "\u0120gro": 7753,
      "\u0120Rad": 7754,
      "\u0120colle": 7755,
      "\u0120improvement": 7756,
      "\u0120Hence": 7757,
      "\u0120Florida": 7758,
      "\u0120degrees": 7759,
      "aped": 7760,
      "System": 7761,
      "\u00d0\u00b7": 7762,
      "\u0120applicable": 7763,
      "\u0120Please": 7764,
      "\u0120soul": 7765,
      "\u00c3\u00a1s": 7766,
      "\u0120enforce": 7767,
      "\u0120oxygen": 7768,
      "defined": 7769,
      "============": 7770,
      "\u0120fle": 7771,
      "\u00e0\u00b9": 7772,
      "\u0120village": 7773,
      "\u0120articles": 7774,
      "\u0120\u00ec": 7775,
      "ochem": 7776,
      "\u0120truly": 7777,
      "charge": 7778,
      "water": 7779,
      "}}{\\": 7780,
      "Source": 7781,
      "ivered": 7782,
      "\u0120150": 7783,
      "tag": 7784,
      "\u0120Paris": 7785,
      "\u0120\u00d1": 7786,
      "\u0120limits": 7787,
      "\u0120continues": 7788,
      "\u0120branch": 7789,
    
Download .txt
gitextract_sze30cz2/

├── .github/
│   └── FUNDING.yml
├── .gitignore
├── 20B_tokenizer.json
├── API_DEMO.py
├── API_DEMO_CHAT.py
├── API_DEMO_WORLD.py
├── LICENSE
├── README.md
├── RWKV_in_150_lines.py
├── RWKV_v5_demo.py
├── RWKV_v6_demo.py
├── RWKV_v6_demo_cuda_bf16.py
├── chat.py
├── misc/
│   └── lambada_test.jsonl
├── music/
│   ├── run.py
│   ├── sample-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   ├── sample2-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   ├── sample3-RWKV-4-MIDI-120M-v1-20230714-ctx4096.mid
│   └── tokenizer-midi.json
├── requirements.txt
├── run_lm_eval.py
├── rwkv_pip_package/
│   ├── LICENSE
│   ├── MANIFEST.in
│   ├── README.md
│   ├── pyproject.toml
│   └── src/
│       └── rwkv/
│           ├── __init__.py
│           ├── cuda/
│           │   ├── gemm_fp16_cublas.cpp
│           │   ├── operators.cu
│           │   ├── rwkv5.cu
│           │   ├── rwkv5_op.cpp
│           │   ├── rwkv6.cu
│           │   ├── rwkv6_op.cpp
│           │   ├── rwkv7.cu
│           │   ├── rwkv7_op.cpp
│           │   └── wrapper.cpp
│           ├── model.py
│           ├── rwkv_tokenizer.py
│           ├── rwkv_vocab_v20230424.txt
│           └── utils.py
├── rwkv_state_merger.py
├── src/
│   ├── model_run.py
│   └── utils.py
├── tokenizer/
│   ├── rwkv_tokenizer.py
│   └── rwkv_vocab_v20230424.txt
└── v2/
    ├── 20B_tokenizer.json
    ├── benchmark.py
    ├── benchmark_more.py
    ├── benchmark_world.py
    ├── chat.py
    ├── convert_model.py
    └── prompt/
        └── default/
            ├── Chinese-1.py
            ├── Chinese-2.py
            ├── English-0.py
            ├── English-1.py
            ├── English-2.py
            ├── English-3.py
            ├── English-4.py
            ├── English-5.py
            ├── Japanese-1.py
            └── Japanese-2.py
Download .txt
SYMBOL INDEX (213 symbols across 24 files)

FILE: API_DEMO.py
  function my_print (line 72) | def my_print(s):

FILE: API_DEMO_CHAT.py
  function run_rnn (line 75) | def run_rnn(ctx):

FILE: API_DEMO_WORLD.py
  function my_print (line 37) | def my_print(s):
  function my_qa_generator (line 66) | def my_qa_generator(ctx):
  function cfg_generator (line 137) | def cfg_generator(with_ctx, without_ctx, cfg_factor=1):

FILE: RWKV_in_150_lines.py
  class RWKV_RNN (line 26) | class RWKV_RNN(torch.jit.ScriptModule):
    method __init__ (line 27) | def __init__(self, args):
    method layer_norm (line 54) | def layer_norm(self, x, w):
    method channel_mixing (line 58) | def channel_mixing(self, x, state, i:int, time_mix_k, time_mix_r, kw, ...
    method time_mixing (line 67) | def time_mixing(self, x, state, i:int, time_mix_k, time_mix_v, time_mi...
    method forward (line 95) | def forward(self, token, state):
  function sample_logits (line 118) | def sample_logits(out, temperature=1.0, top_p=0.8):

FILE: RWKV_v5_demo.py
  class RWKV_TOKENIZER (line 14) | class RWKV_TOKENIZER():
    method __init__ (line 18) | def __init__(self, file_name):
    method encodeBytes (line 49) | def encodeBytes(self, src: bytes) -> list[int]:
    method decodeBytes (line 70) | def decodeBytes(self, tokens):
    method encode (line 73) | def encode(self, src: str):
    method decode (line 76) | def decode(self, tokens):
    method printTokens (line 79) | def printTokens(self, tokens):
  function sample_logits (line 92) | def sample_logits(out, temperature=1.0, top_p=0.8):
  class RWKV_RNN (line 123) | class RWKV_RNN(MyModule):
    method __init__ (line 124) | def __init__(self, args):
    method layer_norm (line 155) | def layer_norm(self, x, w):
    method channel_mixing (line 159) | def channel_mixing(self, x, state, i:int, time_mix_k, time_mix_r, kw, ...
    method time_mixing (line 169) | def time_mixing(self, x, state, i:int, time_mix_k, time_mix_v, time_mi...
    method forward (line 198) | def forward(self, token, state):

FILE: RWKV_v6_demo.py
  class RWKV_TOKENIZER (line 14) | class RWKV_TOKENIZER():
    method __init__ (line 18) | def __init__(self, file_name):
    method encodeBytes (line 49) | def encodeBytes(self, src: bytes) -> list[int]:
    method decodeBytes (line 70) | def decodeBytes(self, tokens):
    method encode (line 73) | def encode(self, src: str):
    method decode (line 76) | def decode(self, tokens):
    method printTokens (line 79) | def printTokens(self, tokens):
  function sample_logits (line 92) | def sample_logits(out, temperature=1.0, top_p=0.8):
  class RWKV_RNN (line 121) | class RWKV_RNN(MyModule):
    method __init__ (line 122) | def __init__(self, args):
    method layer_norm (line 153) | def layer_norm(self, x, w):
    method channel_mixing (line 157) | def channel_mixing(self, x, state, i:int, time_maa_k, time_maa_r, kw, ...
    method time_mixing (line 168) | def time_mixing(self, x, state, i:int, x_maa, w_maa, k_maa, v_maa, r_m...
    method forward (line 207) | def forward(self, token, state):

FILE: RWKV_v6_demo_cuda_bf16.py
  class RWKV_RNN (line 44) | class RWKV_RNN(MyModule):
    method __init__ (line 45) | def __init__(self, args):
    method forward (line 75) | def forward(self, token:int, state:List[torch.Tensor]):
  function time_mixing__ (line 104) | def time_mixing__(H:int, N:int, x, x_prev, state, maa_x, maa_wkvrg, tm_w...
  function channel_mixing__ (line 137) | def channel_mixing__(x, x_prev, time_maa_k, time_maa_r, kw, vw, rw):
  function sample_logits (line 154) | def sample_logits(logits, temperature:float=1.0, top_p:float=1.0, top_k:...
  class RWKV_TOKENIZER (line 180) | class RWKV_TOKENIZER():
    method __init__ (line 184) | def __init__(self, file_name):
    method encodeBytes (line 215) | def encodeBytes(self, src: bytes) -> list[int]:
    method decodeBytes (line 236) | def decodeBytes(self, tokens):
    method encode (line 239) | def encode(self, src: str):
    method decode (line 242) | def decode(self, tokens):

FILE: chat.py
  function run_rnn (line 231) | def run_rnn(tokens, newline_adj = 0):
  function save_all_stat (line 249) | def save_all_stat(srv, name, last_out):
  function load_all_stat (line 256) | def load_all_stat(srv, name):
  function reply_msg (line 277) | def reply_msg(msg):
  function on_message (line 280) | def on_message(message):

FILE: music/run.py
  class ABCTokenizer (line 26) | class ABCTokenizer():
    method __init__ (line 27) | def __init__(self):
    method encode (line 31) | def encode(self, text):
    method decode (line 34) | def decode(self, ids):

FILE: run_lm_eval.py
  class TokenizerWrapper (line 51) | class TokenizerWrapper:
    method __init__ (line 52) | def __init__(self, tokenizer):
    method encode (line 56) | def encode(self, string: str, add_special_tokens=False):
    method decode (line 59) | def decode(self, tokens):
  class EvalHarnessAdapter (line 62) | class EvalHarnessAdapter(GPT2LM):
    method __init__ (line 63) | def __init__(self):
    method _loglikelihood_tokens (line 89) | def _loglikelihood_tokens(self, requests, disable_tqdm=False):
    method run_eval (line 134) | def run_eval(self, eval_tasks=None, num_fewshot=0, bootstrap_iters=2):

FILE: rwkv_pip_package/src/rwkv/cuda/gemm_fp16_cublas.cpp
  function gemm_fp16_cublas (line 28) | void gemm_fp16_cublas(torch::Tensor a, torch::Tensor b, torch::Tensor c) {

FILE: rwkv_pip_package/src/rwkv/cuda/rwkv5_op.cpp
  function forward_bf16 (line 12) | void forward_bf16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp16 (line 16) | void forward_fp16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp32 (line 20) | void forward_fp32(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function PYBIND11_MODULE (line 25) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
  function TORCH_LIBRARY (line 30) | TORCH_LIBRARY(rwkv5, m) {

FILE: rwkv_pip_package/src/rwkv/cuda/rwkv6_op.cpp
  function forward_bf16 (line 12) | void forward_bf16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp16 (line 16) | void forward_fp16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp32 (line 20) | void forward_fp32(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function PYBIND11_MODULE (line 25) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
  function TORCH_LIBRARY (line 30) | TORCH_LIBRARY(rwkv6, m) {

FILE: rwkv_pip_package/src/rwkv/cuda/rwkv7_op.cpp
  function forward_bf16 (line 12) | void forward_bf16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp16 (line 15) | void forward_fp16(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function forward_fp32 (line 18) | void forward_fp32(int64_t B, int64_t T, int64_t C, int64_t H, torch::Ten...
  function TORCH_LIBRARY (line 22) | TORCH_LIBRARY(wkv7s, m) {

FILE: rwkv_pip_package/src/rwkv/cuda/wrapper.cpp
  function wkv_forward (line 27) | void wkv_forward(int64_t B, int64_t T, int64_t C,
  function mm8_seq (line 50) | void mm8_seq(int64_t B, int64_t N, int64_t M,
  function mm8_one (line 84) | void mm8_one(int64_t N, int64_t M,
  function PYBIND11_MODULE (line 125) | PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
  function TORCH_LIBRARY (line 134) | TORCH_LIBRARY(rwkv, m) {

FILE: rwkv_pip_package/src/rwkv/model.py
  function __nop (line 24) | def __nop(ob):
  function cuda_wkv (line 52) | def cuda_wkv(T: int, C: int, w, u, k, v, aa, bb, pp):
  function cuda_mm8_seq (line 64) | def cuda_mm8_seq(B: int, N: int, M: int, x, w, mx, rx, my, ry):
  function cuda_mm8_one (line 76) | def cuda_mm8_one(N: int, M: int, x, w, mx, rx, my, ry):
  function torch_mm8_seq (line 92) | def torch_mm8_seq(x, w, mx, rx, my, ry):
  function torch_mm8_one (line 96) | def torch_mm8_one(x, w, mx, rx, my, ry):
  function mm8_seq (line 101) | def mm8_seq(x, w, mx, rx, my, ry):
  function mm8_one (line 108) | def mm8_one(x, w, mx, rx, my, ry):
  function mm8_seq (line 116) | def mm8_seq(x, w, mx, rx, my, ry):
  function mm8_one (line 119) | def mm8_one(x, w, mx, rx, my, ry):
  function mm8 (line 122) | def mm8(x: torch.Tensor, w: torch.Tensor, mx: torch.Tensor, rx: torch.Te...
  function matmul (line 127) | def matmul(a, b, mx: Optional[torch.Tensor]=None, rx: Optional[torch.Ten...
  function matmul_float (line 144) | def matmul_float(a, b, output_dtype: Optional[torch.dtype]=None):
  function matmul_float (line 166) | def matmul_float(a, b, output_dtype: Optional[torch.dtype]=None):
  class WKV_7 (line 198) | class WKV_7(torch.autograd.Function):
    method forward (line 200) | def forward(ctx, state, r, w, k, v, a, b):
  function RWKV7_OP (line 218) | def RWKV7_OP(state, r, w, k, v, a, b):
  class RWKV_x070 (line 223) | class RWKV_x070(MyModule):
    method __init__ (line 224) | def __init__(self, model, strategy):
    method generate_zero_state (line 284) | def generate_zero_state(self):
    method forward (line 292) | def forward(self, idx, state, full_output=False):
    method forward_one (line 306) | def forward_one(self, idx:int, state:List[torch.Tensor]):
    method forward_one (line 336) | def forward_one(self, idx:int, state:List[torch.Tensor]):
    method forward_one_alt (line 366) | def forward_one_alt(self, x:torch.Tensor, state:List[torch.Tensor]):
    method forward_one_alt (line 395) | def forward_one_alt(self, x:torch.Tensor, state:List[torch.Tensor]):
    method forward_seq (line 426) | def forward_seq(self, idx:List[int], state:List[torch.Tensor], full_ou...
    method forward_seq (line 458) | def forward_seq(self, idx:List[int], state:List[torch.Tensor], full_ou...
  function RWKV_x070_TMix_one (line 492) | def RWKV_x070_TMix_one(layer_id: int, H:int, N:int, x, x_prev, v_first, ...
  function RWKV_x070_TMix_seq (line 520) | def RWKV_x070_TMix_seq(layer_id: int, H:int, N:int, x, x_prev, v_first, ...
  function RWKV_x070_TMix_seq (line 545) | def RWKV_x070_TMix_seq(layer_id: int, H:int, N:int, x, x_prev, v_first, ...
  function RWKV_x070_CMix_one (line 578) | def RWKV_x070_CMix_one(x, x_prev, x_k, K_, V_, semb_, s1_, s2_, s0_):
  function RWKV_x070_CMix_seq (line 587) | def RWKV_x070_CMix_seq(x, x_prev, x_k, K_, V_, semb_, s1_, s2_, s0_):
  function RWKV_x070_CMix_one (line 597) | def RWKV_x070_CMix_one(x, x_prev, x_k, K_, V_):
  function RWKV_x070_CMix_seq (line 604) | def RWKV_x070_CMix_seq(x, x_prev, x_k, K_, V_):
  class RWKV (line 612) | class RWKV(MyModule):
    method __init__ (line 613) | def __init__(self, model, strategy, verbose = True, convert_and_save_a...
    method RUN_RWKV_5 (line 975) | def RUN_RWKV_5(self, B, T, C, H, state, r, k, v, w, u):
    method RUN_RWKV_6 (line 978) | def RUN_RWKV_6(self, B, T, C, H, state, r, k, v, w, u):
    method ffn_one (line 984) | def ffn_one(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, kr...
    method ffn_seq (line 995) | def ffn_seq(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, kr...
    method ffn_one_v6 (line 1007) | def ffn_one_v6(self, x, sx, ln_w, ln_b, k_maa, r_maa, kw, vw, rw, kmx,...
    method ffn_seq_v6 (line 1019) | def ffn_seq_v6(self, x, sx, ln_w, ln_b, k_maa, r_maa, kw, vw, rw, kmx,...
    method att_one (line 1034) | def att_one(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, ...
    method att_seq (line 1058) | def att_seq(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, ...
    method att_one_v5 (line 1091) | def att_one_v5(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix, r...
    method att_seq_v5 (line 1116) | def att_seq_v5(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix, r...
    method att_one_v5_1 (line 1157) | def att_one_v5_1(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix,...
    method att_seq_v5_1 (line 1184) | def att_seq_v5_1(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix,...
    method att_seq_v5_2 (line 1227) | def att_seq_v5_2(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix,...
    method att_one_v6_0 (line 1263) | def att_one_v6_0(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, x_maa, w_maa,...
    method att_seq_v6_0 (line 1301) | def att_seq_v6_0(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, x_maa, w_maa,...
    method cuda_att_seq (line 1346) | def cuda_att_seq(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_...
    method v5_2_before (line 1363) | def v5_2_before(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v_mix, ...
    method v5_2_after (line 1379) | def v5_2_after(self, t_decay, out, s, x, xxx, g, lx_w, lx_b, ow, omx, ...
    method cuda_att_seq_v5_2 (line 1392) | def cuda_att_seq_v5_2(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, k_mix, v...
    method v6_0_before (line 1404) | def v6_0_before(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, x_maa, w_maa, ...
    method cuda_att_seq_v6_0 (line 1431) | def cuda_att_seq_v6_0(self, x, sx, s, ln_w, ln_b, lx_w, lx_b, x_maa, w...
    method forward (line 1443) | def forward(self, tokens, state, full_output=False):

FILE: rwkv_pip_package/src/rwkv/rwkv_tokenizer.py
  class TRIE (line 5) | class TRIE:
    method __init__ (line 9) | def __init__(self, front=None, ch=None):
    method __repr__ (line 15) | def __repr__(self):
    method add (line 24) | def add(self, key:bytes, idx:int=0, val=None):
    method find_longest (line 35) | def find_longest(self, key:bytes, idx:int=0):
  class TRIE_TOKENIZER (line 49) | class TRIE_TOKENIZER():
    method __init__ (line 50) | def __init__(self, file_name):
    method encodeBytes (line 72) | def encodeBytes(self, src:bytes):
    method decodeBytes (line 83) | def decodeBytes(self, tokens):
    method encode (line 86) | def encode(self, src):
    method decode (line 89) | def decode(self, tokens):
    method printTokens (line 95) | def printTokens(self, tokens):

FILE: rwkv_pip_package/src/rwkv/utils.py
  class PIPELINE_ARGS (line 10) | class PIPELINE_ARGS():
    method __init__ (line 11) | def __init__(self, temperature=1.0, top_p=0.85, top_k=0, alpha_frequen...
  class PIPELINE (line 22) | class PIPELINE():
    method __init__ (line 23) | def __init__(self, model, WORD_NAME):
    method refine_context (line 36) | def refine_context(self, context):
    method encode (line 46) | def encode(self, x):
    method decode (line 52) | def decode(self, x):
    method sample_logits (line 55) | def sample_logits(self, logits, temperature=1.0, top_p=0.85, top_k=0):
    method generate (line 90) | def generate(self, ctx, token_count=100, args=PIPELINE_ARGS(), callbac...

FILE: src/model_run.py
  function __nop (line 13) | def __nop(ob):
  class RWKV_RNN (line 27) | class RWKV_RNN(MyModule):
    method __init__ (line 28) | def __init__(self, args):
    method LN (line 131) | def LN(self, x, w):
    method FF_one (line 137) | def FF_one(self, x, state, i:int, time_mix_k, time_mix_r, kw, vw, rw):
    method FF_seq (line 149) | def FF_seq(self, x, state, i:int, time_mix_k, time_mix_r, kw, vw, rw):
    method SA_one (line 161) | def SA_one(self, x, state, i:int, time_mix_k, time_mix_v, time_mix_r, ...
    method SA_seq (line 192) | def SA_seq(self, x, state, i:int, time_mix_k, time_mix_v, time_mix_r, ...
    method forward (line 229) | def forward(self, tokens, state, preprocess_only = False):

FILE: src/utils.py
  function record_time (line 14) | def record_time(name):
  class TOKENIZER (line 21) | class TOKENIZER():
    method __init__ (line 22) | def __init__(self, WORD_NAME):
    method refine_context (line 25) | def refine_context(self, context):
    method encode (line 35) | def encode(self, x):
    method decode (line 38) | def decode(self, x):
    method sample_logits (line 41) | def sample_logits(self, logits, x, ctx_len, temperature=1.0, top_p=1.0):

FILE: tokenizer/rwkv_tokenizer.py
  class RWKV_TOKENIZER (line 39) | class RWKV_TOKENIZER():
    method __init__ (line 43) | def __init__(self, file_name):
    method encodeBytes (line 74) | def encodeBytes(self, src: bytes) -> list[int]:
    method decodeBytes (line 95) | def decodeBytes(self, tokens):
    method encode (line 98) | def encode(self, src: str):
    method decode (line 101) | def decode(self, tokens):
    method printTokens (line 104) | def printTokens(self, tokens):
  class TRIE (line 119) | class TRIE:
    method __init__ (line 123) | def __init__(self, front=None, ch=None):
    method __repr__ (line 129) | def __repr__(self):
    method add (line 138) | def add(self, key:bytes, idx:int=0, val=None):
    method find_longest (line 149) | def find_longest(self, key:bytes, idx:int=0):
  class TRIE_TOKENIZER (line 163) | class TRIE_TOKENIZER():
    method __init__ (line 164) | def __init__(self, file_name):
    method encodeBytes (line 186) | def encodeBytes(self, src:bytes):
    method decodeBytes (line 197) | def decodeBytes(self, tokens):
    method encode (line 200) | def encode(self, src):
    method decode (line 203) | def decode(self, tokens):
    method printTokens (line 206) | def printTokens(self, tokens):
  function benchmark (line 249) | def benchmark(XXX):

FILE: v2/benchmark.py
  function record_time (line 92) | def record_time(name):

FILE: v2/chat.py
  function load_prompt (line 110) | def load_prompt(PROMPT_FILE):
  function run_rnn (line 149) | def run_rnn(tokens, newline_adj = 0):
  function save_all_stat (line 167) | def save_all_stat(srv, name, last_out):
  function load_all_stat (line 174) | def load_all_stat(srv, name):
  function fix_tokens (line 182) | def fix_tokens(tokens):
  function reply_msg (line 204) | def reply_msg(msg):
  function on_message (line 207) | def on_message(message):

FILE: v2/convert_model.py
  function get_args (line 12) | def get_args():
Copy disabled (too large) Download .json
Condensed preview — 60 files, each showing path, character count, and a content snippet. Download the .json file for the full structured content (10,757K chars).
[
  {
    "path": ".github/FUNDING.yml",
    "chars": 15,
    "preview": "ko_fi: rwkv_lm\n"
  },
  {
    "path": ".gitignore",
    "chars": 1811,
    "preview": "test/\nbak/\n\n# Byte-compiled / optimized / DLL files\n__pycache__/\n*.py[cod]\n*$py.class\n\n# C extensions\n*.so\n\n# Distributi"
  },
  {
    "path": "20B_tokenizer.json",
    "chars": 2467981,
    "preview": "{\n  \"version\": \"1.0\",\n  \"truncation\": null,\n  \"padding\": null,\n  \"added_tokens\": [\n    {\n      \"id\": 0,\n      \"special\":"
  },
  {
    "path": "API_DEMO.py",
    "chars": 5268,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "API_DEMO_CHAT.py",
    "chars": 5127,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "API_DEMO_WORLD.py",
    "chars": 8661,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "LICENSE",
    "chars": 11357,
    "preview": "                                 Apache License\n                           Version 2.0, January 2004\n                   "
  },
  {
    "path": "README.md",
    "chars": 6586,
    "preview": "# ChatRWKV (pronounced as \"RwaKuv\" (rʌkuv in IPA), from 4 major params: R W K V)\n\n## RWKV homepage: https://www.rwkv.com"
  },
  {
    "path": "RWKV_in_150_lines.py",
    "chars": 6426,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "RWKV_v5_demo.py",
    "chars": 9179,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "RWKV_v6_demo.py",
    "chars": 9334,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "RWKV_v6_demo_cuda_bf16.py",
    "chars": 11916,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "chat.py",
    "chars": 15642,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "misc/lambada_test.jsonl",
    "chars": 1819752,
    "preview": "{\"text\": \"In my palm is a clear stone, and inside it is a small ivory statuette. A guardian angel.\\n\\n\\\"Figured if you'r"
  },
  {
    "path": "music/run.py",
    "chars": 5574,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "music/tokenizer-midi.json",
    "chars": 453708,
    "preview": "{\n  \"version\": \"1.0\",\n  \"truncation\": null,\n  \"padding\": null,\n  \"added_tokens\": [\n    {\n      \"id\": 0,\n      \"content\":"
  },
  {
    "path": "requirements.txt",
    "chars": 34,
    "preview": "tokenizers>=0.13.2\nprompt_toolkit\n"
  },
  {
    "path": "run_lm_eval.py",
    "chars": 5123,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "rwkv_pip_package/LICENSE",
    "chars": 11357,
    "preview": "                                 Apache License\n                           Version 2.0, January 2004\n                   "
  },
  {
    "path": "rwkv_pip_package/MANIFEST.in",
    "chars": 47,
    "preview": "include src/rwkv/cuda/*\ninclude src/rwkv/*.txt\n"
  },
  {
    "path": "rwkv_pip_package/README.md",
    "chars": 8091,
    "preview": "The RWKV Language Model\n\nhttps://rwkv.com\n\n\n```python\n#\n# !!! set these os.environ[] before import RWKV !!!\n#\nimport os\n"
  },
  {
    "path": "rwkv_pip_package/pyproject.toml",
    "chars": 500,
    "preview": "[project]\nname = \"rwkv\"\nversion = \"0.8.32\"\nauthors = [\n  { name=\"Bo PENG\" },\n]\ndescription = \"The RWKV Language Model\"\nr"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/__init__.py",
    "chars": 0,
    "preview": ""
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/gemm_fp16_cublas.cpp",
    "chars": 3370,
    "preview": "#include <cublas_v2.h>\n#include <cuda.h>\n#include <cuda_fp16.h>\n#include <cuda_runtime.h>\n#include <torch/extension.h>\n#"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/operators.cu",
    "chars": 8677,
    "preview": "#include <stdio.h>\n#include <assert.h>\n#include \"ATen/ATen.h\"\n#include <cuda_fp16.h>\n#define MIN_VALUE (-1e38)\ntypedef a"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv5.cu",
    "chars": 2786,
    "preview": "#include <stdio.h>\n#include <assert.h>\n#include \"ATen/ATen.h\"\ntypedef at::BFloat16 bf16;\ntypedef at::Half fp16;\ntypedef "
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv5_op.cpp",
    "chars": 2249,
    "preview": "#include <torch/extension.h>\n#include \"ATen/ATen.h\"\n#include <c10/cuda/CUDAGuard.h>\ntypedef at::BFloat16 bf16;\ntypedef a"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv6.cu",
    "chars": 2769,
    "preview": "#include <stdio.h>\n#include <assert.h>\n#include \"ATen/ATen.h\"\ntypedef at::BFloat16 bf16;\ntypedef at::Half fp16;\ntypedef "
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv6_op.cpp",
    "chars": 2249,
    "preview": "#include <torch/extension.h>\n#include \"ATen/ATen.h\"\n#include <c10/cuda/CUDAGuard.h>\ntypedef at::BFloat16 bf16;\ntypedef a"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv7.cu",
    "chars": 2518,
    "preview": "#include <stdio.h>\n#include <assert.h>\n#include \"ATen/ATen.h\"\n\ntypedef at::Half fp16;\ntypedef at::BFloat16 bf16;\ntypedef"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/rwkv7_op.cpp",
    "chars": 1906,
    "preview": "#include <torch/extension.h>\n#include \"ATen/ATen.h\"\n\ntypedef at::Half fp16;\ntypedef at::BFloat16 bf16;\ntypedef float fp3"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/cuda/wrapper.cpp",
    "chars": 5002,
    "preview": "#include <torch/extension.h>\n#include \"ATen/ATen.h\"\n#include <iostream>\n#include <c10/cuda/CUDAGuard.h>\n\ntypedef at::Hal"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/model.py",
    "chars": 85425,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/rwkv_tokenizer.py",
    "chars": 3201,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/rwkv_vocab_v20230424.txt",
    "chars": 1053918,
    "preview": "1 '\\x00' 1\n2 '\\x01' 1\n3 '\\x02' 1\n4 '\\x03' 1\n5 '\\x04' 1\n6 '\\x05' 1\n7 '\\x06' 1\n8 '\\x07' 1\n9 '\\x08' 1\n10 '\\t' 1\n11 '\\n' 1\n1"
  },
  {
    "path": "rwkv_pip_package/src/rwkv/utils.py",
    "chars": 5789,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "rwkv_state_merger.py",
    "chars": 548,
    "preview": "import torch\r\n\r\nbase_model = 'E:/RWKV-Runner/models/rwkv-final-v6-2.1-3b.pth'\r\n\r\nstate_model = 'E:/RWKV-Runner/models/rw"
  },
  {
    "path": "src/model_run.py",
    "chars": 10220,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "src/utils.py",
    "chars": 2373,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "tokenizer/rwkv_tokenizer.py",
    "chars": 50436,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "tokenizer/rwkv_vocab_v20230424.txt",
    "chars": 1053918,
    "preview": "1 '\\x00' 1\n2 '\\x01' 1\n3 '\\x02' 1\n4 '\\x03' 1\n5 '\\x04' 1\n6 '\\x05' 1\n7 '\\x06' 1\n8 '\\x07' 1\n9 '\\x08' 1\n10 '\\t' 1\n11 '\\n' 1\n1"
  },
  {
    "path": "v2/20B_tokenizer.json",
    "chars": 2467981,
    "preview": "{\n  \"version\": \"1.0\",\n  \"truncation\": null,\n  \"padding\": null,\n  \"added_tokens\": [\n    {\n      \"id\": 0,\n      \"special\":"
  },
  {
    "path": "v2/benchmark.py",
    "chars": 8519,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "v2/benchmark_more.py",
    "chars": 4247,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "v2/benchmark_world.py",
    "chars": 5171,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "v2/chat.py",
    "chars": 17905,
    "preview": "########################################################################################################\n# The RWKV Lang"
  },
  {
    "path": "v2/convert_model.py",
    "chars": 1637,
    "preview": "import os, sys, argparse\ncurrent_path = os.path.dirname(os.path.abspath(__file__))\nsys.path.append(f'{current_path}/../r"
  },
  {
    "path": "v2/prompt/default/Chinese-1.py",
    "chars": 117,
    "preview": "interface = \":\"\nuser = \"Q\"\nbot = \"A\"\n\ninit_prompt = f'''\nExpert Questions & Helpful Answers\n\nAsk Research Experts\n'''"
  },
  {
    "path": "v2/prompt/default/Chinese-2.py",
    "chars": 734,
    "preview": "interface = \":\"\n\n# If you modify this, make sure you have newlines between user and bot words too\n\nuser = \"Bob\"\nbot = \"A"
  },
  {
    "path": "v2/prompt/default/English-0.py",
    "chars": 258,
    "preview": "interface = \":\"\nuser = \"Question\"\nbot = \"Answer\"\n\ninit_prompt = f'''{user}{interface} hi\n\n{bot}{interface} Hi. I am your"
  },
  {
    "path": "v2/prompt/default/English-1.py",
    "chars": 1025,
    "preview": "interface = \":\"\nuser = \"User\"\nbot = \"Bot\"\n\n# If you modify this, make sure you have newlines between user and bot words "
  },
  {
    "path": "v2/prompt/default/English-2.py",
    "chars": 1256,
    "preview": "interface = \":\"\nuser = \"Bob\"\nbot = \"Alice\"\n\n# If you modify this, make sure you have newlines between user and bot words"
  },
  {
    "path": "v2/prompt/default/English-3.py",
    "chars": 6783,
    "preview": "interface = \":\"\nuser = \"James\" # only for chat sample. see below for real user name\nbot = \"Emma\" # only for chat sample."
  },
  {
    "path": "v2/prompt/default/English-4.py",
    "chars": 6625,
    "preview": "interface = \":\"\nuser = \"Student\"\nbot = \"Professor\"\n\ninit_prompt = f'''\nThe following is a detailed conversation dialogue"
  },
  {
    "path": "v2/prompt/default/English-5.py",
    "chars": 2021,
    "preview": "interface = \":\"\nuser = \"Player\"\nbot = \"The Shadow Queen\"\n\n# If you modify this, make sure you have newlines between user"
  },
  {
    "path": "v2/prompt/default/Japanese-1.py",
    "chars": 754,
    "preview": "interface = \":\"\nuser = \"User\"\nbot = \"Bot\"\n\n# If you modify this, make sure you have newlines between user and bot words "
  },
  {
    "path": "v2/prompt/default/Japanese-2.py",
    "chars": 786,
    "preview": "interface = \":\"\nuser = \"Bob\"\nbot = \"Alice\"\n\n# If you modify this, make sure you have newlines between user and bot words"
  }
]

// ... and 3 more files (download for full content)

About this extraction

This page contains the full source code of the BlinkDL/ChatRWKV GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 60 files (9.2 MB), approximately 2.4M tokens, and a symbol index with 213 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.

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