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

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Mixtral 8x7B Instruct V0.1 4bit Bnb 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 4bit Bnb (monsterapi/Mixtral-8x7B-Instruct-v0.1_4bit_bnb)

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

Additional Notes 
Mixtral-8x7B is a pretrained generative Sparse Mixture of Experts model.
Supported Languages 
fr (unknown), it (unknown), de (unknown), es (unknown), en (unknown)
Training Details 
Model Architecture:
Sparse Mixture of Experts
Input Output 
Input Format:
[INST] Instruction [/INST] Model answer [INST] Follow-up instruction [/INST]
Performance Tips:
Strictly follow the instruction format template to avoid sub-optimal outputs.
LLM NameMixtral 8x7B Instruct V0.1 4bit Bnb
Repository ๐Ÿค—https://huggingface.co/monsterapi/Mixtral-8x7B-Instruct-v0.1_4bit_bnb 
Model Size24.2b
Required VRAM24.5 GB
Updated2025-02-22
Maintainermonsterapi
Model Typemixtral
Instruction-BasedYes
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   4.5 GB: 5-of-5
Supported Languagesfr it de es en
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than monsterapi/Mixtral-8x7B-Instruct-v0.1_4bit_bnb.

Rank the Mixtral 8x7B Instruct V0.1 4bit Bnb Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227