Mixtral 8x7B Instruct V0.1 Bnb 4bit by ybelkada

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Mixtral 8x7B Instruct V0.1 Bnb 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B Instruct V0.1 Bnb 4bit (ybelkada/Mixtral-8x7B-Instruct-v0.1-bnb-4bit)

Mixtral 8x7B Instruct V0.1 Bnb 4bit Parameters and Internals

Model Type 
mixtral
Additional Notes 
Model is quantized in 4-bit precision and requires CUDA-compatible GPU.
LLM NameMixtral 8x7B Instruct V0.1 Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/ybelkada/Mixtral-8x7B-Instruct-v0.1-bnb-4bit 
Model NameMixtral 8X7B - bnb 4-bit
Model Size24.2b
Required VRAM26.7 GB
Updated2025-02-22
Maintainerybelkada
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   1.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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 ybelkada/Mixtral-8x7B-Instruct-v0.1-bnb-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227