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| author | Bartowski <ckealty1182@gmail.com> | 2024-05-02 19:49:09 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-05-03 01:49:09 +0200 |
| commit | 60325fa56f61c228464c9f065db3aa6a61f2156e (patch) | |
| tree | 0698b84c48d02403434f79bbc4765c0040298402 /convert-hf-to-gguf.py | |
| parent | 6ecf3189e00a1e8e737a78b6d10e1d7006e050a2 (diff) | |
Remove .attention from skipped tensors to match more accurately (#7051)
Diffstat (limited to 'convert-hf-to-gguf.py')
| -rwxr-xr-x | convert-hf-to-gguf.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py index 2f146d73..612aea17 100755 --- a/convert-hf-to-gguf.py +++ b/convert-hf-to-gguf.py @@ -1427,7 +1427,7 @@ class LlamaModel(Model): experts = dict() for name, data_torch in self.get_tensors(): # we don't need these - if name.endswith((".attention.masked_bias", ".attention.bias", ".attention.rotary_emb.inv_freq")): + if name.endswith((".attention.masked_bias", ".attention.bias", ".rotary_emb.inv_freq")): continue old_dtype = data_torch.dtype |