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author | Oleksandr Nikitin <oleksandr@tvori.info> | 2023-03-12 14:16:33 +0200 |
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committer | GitHub <noreply@github.com> | 2023-03-12 14:16:33 +0200 |
commit | b9bd1d014113b7498f04ad4d28e6021d5f4cddad (patch) | |
tree | d9da0d2d216cbd20622ecee281c646eb4694cb1d | |
parent | 129c7d1ea886e52ac1b87ff6184310bab3158806 (diff) |
python/pytorch compat notes (#44)
-rw-r--r-- | README.md | 1 | ||||
-rw-r--r-- | convert-pth-to-ggml.py | 1 |
2 files changed, 2 insertions, 0 deletions
@@ -136,6 +136,7 @@ ls ./models 65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model # install Python dependencies +# preferred versions: python 3.10 (not 3.11), torch 1.13.1+ python3 -m pip install torch numpy sentencepiece # convert the 7B model to ggml FP16 format diff --git a/convert-pth-to-ggml.py b/convert-pth-to-ggml.py index 98693e3..ef50fc6 100644 --- a/convert-pth-to-ggml.py +++ b/convert-pth-to-ggml.py @@ -86,6 +86,7 @@ for p in range(n_parts): if (p > 0): fname_out = sys.argv[1] + "/ggml-model-" + ftype_str[ftype] + ".bin" + "." + str(p) + # weights_only requires torch 1.13.1, remove this param or update if you get an "invalid keyword argument" error model = torch.load(fname_model, map_location="cpu", weights_only=True) fout = open(fname_out, "wb") |