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Mixtral 8x7B V0.1 by mistralai

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Model Card on HF 🤗: https://huggingface.co/mistralai/Mixtral-8x7B-v0.1 

Mixtral 8x7B V0.1 Benchmarks

MMLU Pro: 31.9
GPQA: 9.4
MUSR: 13.66
BBH: 30.4
IFEval: 23.26 vs 88 (so35)-73.6%
ARC: 92.1 vs 96.7 (so35)-4.8%
HellaSwag: 81.9 vs 95.3 (gpt4)-14.1%
MMLU: 71.8 vs 88.3 (so35)-18.7%
TruthfulQA: 47.62 vs 59 (gpt4)-19.3%
WinoGrande: 80.19 vs 87.5 (gpt4)-8.4%
GSM8K: 66 vs 96.4 (so35)-31.5%
OpenCompas: 59.6 vs 73.3 (gpt4)-18.7%
Exam: 72.7 vs 77.2 (gpt4)-5.8%
Language: 45.2 vs 62 (gpt4)-27.1%
Knowledge: 63.2 vs 73.5 (gpt4)-14%
Understand: 68 vs 70 (gpt4)-2.9%
Reasoning: 55.9 vs 74.4 (gpt4)-24.9%
MATH Lvl 5: 9.37
LLME Score: 0.33419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mixtral 8x7B V0.1 Parameters and Internals

Model Type 
generative, Sparse Mixture of Experts
Additional Notes 
Mixtral-8x7B is a pretrained base model and therefore does not have any moderation mechanisms.
Supported Languages 
fr (fluent), it (fluent), de (fluent), es (fluent), en (fluent)
LLM NameMixtral 8x7B V0.1
Repository 🤗https://huggingface.co/mistralai/Mixtral-8x7B-v0.1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-06-09
Maintainermistralai
Model Typemixtral
Model Files  12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   12.1 GB   4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesfr it de es en
Gated ModelYes
Model ArchitectureMixtralForCausalLM
Licenseproprietary
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7B V0.1 (mistralai/Mixtral-8x7B-v0.1)

Quantized Models of the Mixtral 8x7B V0.1

Model
Likes
Downloads
VRAM
Mixtral 8x7B V0.1 GGUF430656515 GB
Mixtral 8x7B V0.1 GPTQ127135923 GB
...hon Mixtral V1.3.75bpw H6 EXL231422 GB
Mixtral 8x7B V0.1 GGUF111217 GB
...Hermes 2 Mixtral 8x7B DPO 4bit1712510 GB
Mixtral 8x7b V0.1 AWQ1044124 GB
...ixtral 8x7B DPO 5.0bpw H6 EXL271129 GB
... 8x7B DPO 3.7bpw H6 EXL2 Rpcal42021 GB
...ixtral 8x7B SFT 6.0bpw H6 EXL221835 GB
... 8x7B DPO 6.0bpw H6 EXL2 Rpcal12135 GB

Best Alternatives to Mixtral 8x7B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB2695674452
Nous Hermes 2 Mixtral 8x7B DPO32K / 93.6 GB8481443
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB94450
GritLM 8x7B KTO32K / 93.6 GB62093
Smaug Mixtral V0.132K / 187.7 GB624212
Sensualize Mixtral Bf1632K / 93.6 GB00
Skadi Mixtral V132K / 93.5 GB00
Franziska Mixtral V132K / 93.5 GB00
Typhon Mixtral V132K / 93.4 GB00
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mixtral-8x7B-v0.1.

Rank the Mixtral 8x7B V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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