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Add SHA256SUMS file and instructions to README how to obtain and verify the downloads
Hashes created using: sha256sum models/*B/*.pth models/*[7136]B/ggml-model-f16.bin* models/*[7136]B/ggml-model-q4_0.bin* > SHA256SUMS
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README.md
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README.md
@ -234,6 +234,20 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
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>
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```
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### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data
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* The LLaMA models are officially distributed by Facebook and will never be provided through this repository. See this [Pull Request in Facebook's LLaMA repository](https://github.com/facebookresearch/llama/pull/73/files) if you need to obtain access to the model data.
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* Please verify the sha256 checksums of all of your `consolidated*.pth` and corresponding converted `ggml-model-*.bin` model files to confirm that you have the correct model data files before creating an issue relating to your model files.
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The following command will verify if you have all possible latest files in your self-installed `./models` subdirectory:
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`sha256sum --ignore-missing -c SHA256SUMS` on Linux
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or
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`shasum -a 256 --ignore-missing -c SHA256SUMS` on macOS
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### Android
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You can easily run `llama.cpp` on Android device with [termux](https://play.google.com/store/apps/details?id=com.termux).
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53
SHA256SUMS
Normal file
53
SHA256SUMS
Normal file
@ -0,0 +1,53 @@
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700df0d3013b703a806d2ae7f1bfb8e59814e3d06ae78be0c66368a50059f33d models/7B/consolidated.00.pth
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abe4aec2cdc297e2916011f66c7efd6fb4424e0e84315503005b5c118358cc22 models/7B/ggml-model-f16.bin
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f495fa02a0b5ef265e1864d9680eede7fd23a60b0a2f93edba8091e2a4ca68b9 models/7B/ggml-model-q4_0.bin
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7e89e242ddc0dd6f060b43ca219ce8b3e8f08959a72cb3c0855df8bb04d46265 models/7B/params.json
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745bf4e29a4dd6f411e72976d92b452da1b49168a4f41c951cfcc8051823cf08 models/13B/consolidated.00.pth
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d5ccbcc465c71c0de439a5aeffebe8344c68a519bce70bc7f9f92654ee567085 models/13B/consolidated.01.pth
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a6bd0537c6873f36c47292df0b6f794e1135f5aafb89c3343bcc9e93264bf167 models/13B/ggml-model-f16.bin
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0fb0951b90f2ec46c1f2f2372af5dacb4614b27e9fb6c10c69fbec58d7dd0e36 models/13B/ggml-model-f16.bin.1
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1c218ba37ae61e15e35efd9949c78d6edf553b6280824c263cad56ae0b9d5a8f models/13B/ggml-model-q4_0.bin
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c37a20c2ab9fa74b006b389085660269ee06110d1e45a494eb57d4602c9bcdb2 models/13B/ggml-model-q4_0.bin.1
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4ab77bec4d4405ccb66a97b282574c89a94417e3c32e5f68f37e2876fc21322f models/13B/params.json
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e23294a58552d8cdec5b7e8abb87993b97ea6eced4178ff2697c02472539d067 models/30B/consolidated.00.pth
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4e077b7136c7ae2302e954860cf64930458d3076fcde9443f4d0e939e95903ff models/30B/consolidated.01.pth
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24a87f01028cbd3a12de551dcedb712346c0b5cbdeff1454e0ddf2df9b675378 models/30B/consolidated.02.pth
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1adfcef71420886119544949767f6a56cb6339b4d5fcde755d80fe68b49de93b models/30B/consolidated.03.pth
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def20ea508f4e36793719f857471e85b85f96e497a2cbffbbaa1b60e2b18202c models/30B/ggml-model-f16.bin
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b37040aa67fa8608cb2d8e0719132cf3e267fd35ec1e2f0d37dbc9fa43d674f1 models/30B/ggml-model-f16.bin.1
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e7f263557e99069fe29003262ea5fa9ed885dbe79069083e6eb569b328cf30d3 models/30B/ggml-model-f16.bin.2
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2ad6a23af05eb720f202f63d130f4fc5de9b6d2efc95b921be003209a56695aa models/30B/ggml-model-f16.bin.3
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7de31d005e6d02ebd9603b2cf5329ad2f832b65d08873a098c5cafc4046cb9ed models/30B/ggml-model-q4_0.bin
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f91feef9f30f9a023616db2e91297ca6d5d5d7b9eb351e452a82115c46f7da9e models/30B/ggml-model-q4_0.bin.1
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66f3a0916ac7a81839153eb061fa861030ed1892477c2f7af2ce4f98d2f6d06f models/30B/ggml-model-q4_0.bin.2
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e3c587ba97f83d2088b001bcda3026571065649ee3090bef6743a51390b01d3b models/30B/ggml-model-q4_0.bin.3
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2c07118ea98d69dbe7810d88520e30288fa994751b337f8fca02b171955f44cb models/30B/params.json
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135c563f6b3938114458183afb01adc9a63bef3d8ff7cccc3977e5d3664ecafe models/65B/consolidated.00.pth
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9a600b37b19d38c7e43809485f70d17d1dc12206c07efa83bc72bb498a568bde models/65B/consolidated.01.pth
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e7babf7c5606f165a3756f527cb0fedc4f83e67ef1290391e52fb1cce5f26770 models/65B/consolidated.02.pth
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73176ffb426b40482f2aa67ae1217ef79fbbd1fff5482bae5060cdc5a24ab70e models/65B/consolidated.03.pth
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882e6431d0b08a8bc66261a0d3607da21cbaeafa96a24e7e59777632dbdac225 models/65B/consolidated.04.pth
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a287c0dfe49081626567c7fe87f74cce5831f58e459b427b5e05567641f47b78 models/65B/consolidated.05.pth
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72b4eba67a1a3b18cb67a85b70f8f1640caae9b40033ea943fb166bd80a7b36b models/65B/consolidated.06.pth
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d27f5b0677d7ff129ceacd73fd461c4d06910ad7787cf217b249948c3f3bc638 models/65B/consolidated.07.pth
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7eba2625260cd91f8de901fd9704a1aa39448425514a335a0d3878de4ab9dc77 models/65B/ggml-model-f16.bin
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f6aa886575df0785d4231f30cc776d499ccde18857818effc0378c65b178e0b5 models/65B/ggml-model-f16.bin.1
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076037141682f5d7537955058c4740ab27f285aa4588915f830874a589c0693d models/65B/ggml-model-f16.bin.2
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7853d96d2903ad7de2b2a89c4acf5a33a2f8e3c24ac39c9df6b44cdb42bf530a models/65B/ggml-model-f16.bin.3
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00d993d73bb21d7c29388ffe0dced008cbaa0d391831dea77d7eb8f0b5c404b9 models/65B/ggml-model-f16.bin.7
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4e398f05842206e08cdc5e7bb4f6c7c34b9dc373435ece6f261b14b7b4fe9b89 models/65B/ggml-model-q4_0.bin
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4c4e899e3b12d9f57c9dcea5a1fb41bbc72023323535551f6273582ca7d7294b models/65B/ggml-model-q4_0.bin.1
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d7b4594bbbd192043b3db0e5acc2561c42e6944e1cb91cc6e61510eee89dbcd8 models/65B/ggml-model-q4_0.bin.2
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9a099d271648863d923d0d097391ea0bc75591f27a2ca3a327760f42e6b69af2 models/65B/ggml-model-q4_0.bin.3
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5ee474051e418c5732b7949190b084d9d679db447f83c1de0d2a82daaa1a0cfa models/65B/ggml-model-q4_0.bin.4
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a58fda714b759c28ad5e4c1d8bf8fda7b158fd5e4c4a49f851f36342fa97a105 models/65B/ggml-model-q4_0.bin.6
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a3540cfcbcda33c223c6b0d606034adbd78f17e0e5de1582b78795e78754f7a8 models/65B/ggml-model-q4_0.bin.7
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999ed1659b469ccc2a941714c0a9656fa571d17c9f7c8c7589817ca90edef51b models/65B/params.json
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1f582babc2bd56bb63b33141898748657d369fd110c4358b2bc280907882bf13 models/alpaca-7B/ggml-model-q4_0.bin
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e17730c6b62b565b098af023ca446dcb9e3535d4222ead6369c7aae67207eb3d models/alpaca-13B/ggml-model-q4_0.bin
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9bcd1bb30e679c939f367be11b030fe20b3eb9a3606b9bc4106420f1827b6ae4 models/alpaca-30B/ggml-model-q4_0.bin
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36079249f53c292a4c2302d7784005dcae94c865f0bedfdbfa51d9ddad402935 models/alpaca-30B/params.json
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