]> git.djapps.eu Git - pkg/ggml/sources/llama.cpp/commitdiff
Revert "Delete SHA256SUMS for now" (#429)
authorStephan Walter <redacted>
Thu, 23 Mar 2023 14:15:48 +0000 (14:15 +0000)
committerGitHub <redacted>
Thu, 23 Mar 2023 14:15:48 +0000 (15:15 +0100)
* Revert "Delete SHA256SUMS for now (#416)"

This reverts commit 8eea5ae0e5f31238a97c79ea9103c27647380e37.

* Remove ggml files until they can be verified
* Remove alpaca json
* Add also model/tokenizer.model to SHA256SUMS + update README

---------

Co-authored-by: Pavol Rusnak <redacted>
README.md
SHA256SUMS [new file with mode: 0644]

index e486454fe71510beede1e05e96788c478b385fc3..ee8dc1dcb0e10b129023d8ba011a9f917453d965 100644 (file)
--- a/README.md
+++ b/README.md
@@ -220,7 +220,7 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
 ### Obtaining and verifying the Facebook LLaMA original model and Stanford Alpaca model data
 
 * 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.
-* 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.
+* Please verify the sha256 checksums of all downloaded model files to confirm that you have the correct model data files before creating an issue relating to your model files.
 * The following command will verify if you have all possible latest files in your self-installed `./models` subdirectory:
 
   `sha256sum --ignore-missing -c SHA256SUMS` on Linux
diff --git a/SHA256SUMS b/SHA256SUMS
new file mode 100644 (file)
index 0000000..63fac21
--- /dev/null
@@ -0,0 +1,20 @@
+700df0d3013b703a806d2ae7f1bfb8e59814e3d06ae78be0c66368a50059f33d  models/7B/consolidated.00.pth
+7e89e242ddc0dd6f060b43ca219ce8b3e8f08959a72cb3c0855df8bb04d46265  models/7B/params.json
+745bf4e29a4dd6f411e72976d92b452da1b49168a4f41c951cfcc8051823cf08  models/13B/consolidated.00.pth
+d5ccbcc465c71c0de439a5aeffebe8344c68a519bce70bc7f9f92654ee567085  models/13B/consolidated.01.pth
+4ab77bec4d4405ccb66a97b282574c89a94417e3c32e5f68f37e2876fc21322f  models/13B/params.json
+e23294a58552d8cdec5b7e8abb87993b97ea6eced4178ff2697c02472539d067  models/30B/consolidated.00.pth
+4e077b7136c7ae2302e954860cf64930458d3076fcde9443f4d0e939e95903ff  models/30B/consolidated.01.pth
+24a87f01028cbd3a12de551dcedb712346c0b5cbdeff1454e0ddf2df9b675378  models/30B/consolidated.02.pth
+1adfcef71420886119544949767f6a56cb6339b4d5fcde755d80fe68b49de93b  models/30B/consolidated.03.pth
+2c07118ea98d69dbe7810d88520e30288fa994751b337f8fca02b171955f44cb  models/30B/params.json
+135c563f6b3938114458183afb01adc9a63bef3d8ff7cccc3977e5d3664ecafe  models/65B/consolidated.00.pth
+9a600b37b19d38c7e43809485f70d17d1dc12206c07efa83bc72bb498a568bde  models/65B/consolidated.01.pth
+e7babf7c5606f165a3756f527cb0fedc4f83e67ef1290391e52fb1cce5f26770  models/65B/consolidated.02.pth
+73176ffb426b40482f2aa67ae1217ef79fbbd1fff5482bae5060cdc5a24ab70e  models/65B/consolidated.03.pth
+882e6431d0b08a8bc66261a0d3607da21cbaeafa96a24e7e59777632dbdac225  models/65B/consolidated.04.pth
+a287c0dfe49081626567c7fe87f74cce5831f58e459b427b5e05567641f47b78  models/65B/consolidated.05.pth
+72b4eba67a1a3b18cb67a85b70f8f1640caae9b40033ea943fb166bd80a7b36b  models/65B/consolidated.06.pth
+d27f5b0677d7ff129ceacd73fd461c4d06910ad7787cf217b249948c3f3bc638  models/65B/consolidated.07.pth
+999ed1659b469ccc2a941714c0a9656fa571d17c9f7c8c7589817ca90edef51b  models/65B/params.json
+9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347  models/tokenizer.model