user
commited on
Commit
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500b596
1
Parent(s):
420232f
changed safetensors metadata so files are deterministic
Browse files- Nexusflow_Athene-V2-Chat_493f1bbd561a5a7e3d27c4081d4ee47508bf6831.logits.safetensors +2 -2
- deepseek-ai_DeepSeek-V3_86518964eaef84e3fdd98e9861759a1384f9c29d.logits.safetensors +2 -2
- meta-llama_Llama-3.2-1B_4e20de362430cd3b72f300e6b0f18e50e7166e08.logits.safetensors +2 -2
- meta-llama_Llama-3.3-70B-Instruct_6f6073b423013f6a7d4d9f39144961bfbfbc386b.logits.safetensors +2 -2
- run_test.py +1 -1
Nexusflow_Athene-V2-Chat_493f1bbd561a5a7e3d27c4081d4ee47508bf6831.logits.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c629036cb65bb4c21ab827ee7404d592f8acbf80cd7bcae69ebd96c478f4a8c4
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size 238749632
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deepseek-ai_DeepSeek-V3_86518964eaef84e3fdd98e9861759a1384f9c29d.logits.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:73587758faf5a3810d5c15a1e45e25f5f51456a83f513f1346eea202b8d09132
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size 437565928
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meta-llama_Llama-3.2-1B_4e20de362430cd3b72f300e6b0f18e50e7166e08.logits.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f06331e234681c98d34d740644c47c5a5d615ab262ecfdc11da914b96779d47c
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size 15543560
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meta-llama_Llama-3.3-70B-Instruct_6f6073b423013f6a7d4d9f39144961bfbfbc386b.logits.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:017587ee95ec53164ec9a30a7e5921aa75de10d1b9a358964020a4bc3b191d97
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size 282042608
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run_test.py
CHANGED
@@ -46,6 +46,6 @@ for module in pipe.model.modules():
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prompt = 'Once upon a time,'
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output = pipe(prompt, do_sample=False, max_new_tokens=1, temperature=1.0, top_p=1.0)
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safetensors.torch.save_file(tensors, fn, dict(
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print()
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print(output)
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prompt = 'Once upon a time,'
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output = pipe(prompt, do_sample=False, max_new_tokens=1, temperature=1.0, top_p=1.0)
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safetensors.torch.save_file(tensors, fn, dict(prompt=prompt))
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print()
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print(output)
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