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Mixtral 8x7B V0.1 OmniQuantv2 W4a16g128 by ChenMnZ

 »  All LLMs  »  ChenMnZ  »  Mixtral 8x7B V0.1 OmniQuantv2 W4a16g128   URL Share it on

  9   
  Arxiv:2308.13137   Autotrain compatible   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ChenMnZ/Mixtral-8x7B-v0.1-OmniQuantv2-w4a16g128 

Mixtral 8x7B V0.1 OmniQuantv2 W4a16g128 Benchmarks

LLME Score: 0.15297
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B V0.1 OmniQuantv2 W4a16g128 (ChenMnZ/Mixtral-8x7B-v0.1-OmniQuantv2-w4a16g128)

Mixtral 8x7B V0.1 OmniQuantv2 W4a16g128 Parameters and Internals

Additional Notes 
For detailed usage, refer to the corresponding Jupyter notebook available in the repository.
LLM NameMixtral 8x7B V0.1 OmniQuantv2 W4a16g128
Repository 🤗https://huggingface.co/ChenMnZ/Mixtral-8x7B-v0.1-OmniQuantv2-w4a16g128 
Model Size6.5b
Required VRAM24.7 GB
Updated2025-02-05
MaintainerChenMnZ
Model Typemixtral
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   4.7 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChenMnZ/Mixtral-8x7B-v0.1-OmniQuantv2-w4a16g128.

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Release v20241227
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