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Mixtral 8x7B Instruct V0.1 by mistralai

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

Mixtral 8x7B Instruct V0.1 Benchmarks

MMLU Pro: 29.91
GPQA: 7.05
MUSR: 11.07
BBH: 29.74
IFEval: 55.99 vs 88 (so35)-36.4%
ARC: 90.3 vs 96.7 (so35)-6.6%
HellaSwag: 80.3 vs 95.3 (gpt4)-15.7%
MMLU: 68.7 vs 88.3 (so35)-22.2%
TruthfulQA: 64.58 vs 59 (gpt4)9.5%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 71.7 vs 96.4 (so35)-25.6%
OpenCompas: 56.8 vs 73.3 (gpt4)-22.5%
Exam: 71.4 vs 77.2 (gpt4)-7.5%
Language: 35.5 vs 62 (gpt4)-42.7%
Knowledge: 58.8 vs 73.5 (gpt4)-20%
Understand: 66.7 vs 70 (gpt4)-4.7%
Reasoning: 54.7 vs 74.4 (gpt4)-26.5%
MATH Lvl 5: 9.14
LLME Score: 0.41177
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 (mistralai/Mixtral-8x7B-Instruct-v0.1)
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Mixtral 8x7B Instruct V0.1 Parameters and Internals

Model Type 
pretrained generative Sparse Mixture of Experts
Additional Notes 
The Mixtral-8x7B Instruct model can be easily fine-tuned and does not have any moderation mechanisms.
Supported Languages 
fr (French), it (Italian), de (German), es (Spanish), en (English)
LLM NameMixtral 8x7B Instruct V0.1
Repository 🤗https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 
Base Model(s)  mistralai/Mixtral-8x7B-v0.1   mistralai/Mixtral-8x7B-v0.1
Model Size46.7b
Required VRAM93.6 GB
Updated2025-09-23
Maintainermistralai
Model Typemixtral
Instruction-BasedYes
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

Quantized Models of the Mixtral 8x7B Instruct V0.1

Model
Likes
Downloads
VRAM
...ixtral 8x7B Instruct V0.1 GGUF6392547315 GB
...ixtral 8x7B Instruct V0.1 GPTQ13820452023 GB
Mixtral 8x7B Instruct V0.1 AWQ581181424 GB
...ixtral 8x7B Instruct V0.1 GGUF5137817 GB
...ixtral 8x7B Instruct V0.1 GGUF215417 GB
Notux 8x7b V1.3.5bpw EXL22820 GB
Notux 8x7b V1.3.5bpw H6 EXL21620 GB
...es Mixtral 8x7B 2.4bpw H6 EXL22714 GB
...es Mixtral 8x7B 6.0bpw H6 EXL21535 GB
...es Mixtral 8x7B 3.0bpw H6 EXL21517 GB

Best Alternatives to Mixtral 8x7B Instruct V0.1

Best Alternatives
Context / RAM
Downloads
Likes
...xtral 8x7B Yes Instruct LimaRP32K / 93.5 GB80
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB7460
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB294022
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Merge Mixtral Prometheus 8x7B32K / 91.9 GB72
Sage Ft Mixtral 8x7b32K / 90 GB824
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB41251235
Notux 8x7b V132K / 93.6 GB10163
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB28451237
BagelMIsteryTour V2 8x7B32K / 93.5 GB416

Rank the Mixtral 8x7B Instruct V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241124
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