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Mixtral 8x7B Instruct V0.1 by mistralai

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
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: 9.29
LLME Score: 0.44384
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)

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
Updated2025-02-05
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 GGUF6113735015 GB
...ixtral 8x7B Instruct V0.1 GPTQ1355556423 GB
...ixtral 8x7B Instruct V0.1 GGUF215317 GB
Mixtral 8x7B Instruct V0.1 AWQ5736424 GB
...ixtral 8x7B Instruct V0.1 GGUF520817 GB
Notux 8x7b V1.3.5bpw EXL22620 GB
Notux 8x7b V1.3.5bpw H6 EXL21720 GB
...es Mixtral 8x7B 2.4bpw H6 EXL22714 GB
...es Mixtral 8x7B 3.0bpw H6 EXL21817 GB
...es Mixtral 8x7B 6.0bpw H6 EXL21535 GB

Best Alternatives to Mixtral 8x7B Instruct V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB161381224
Merge Mixtral Prometheus 8x7B32K / 91.9 GB92
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB149722
Notux 8x7b V132K / 93.6 GB50165
BagelMIsteryTour V2 8x7B32K / 93.5 GB7216
Karakuri Lm 8x7b Instruct V0.132K / 93.6 GB11219
Autotrain Xva0j Mixtral8x7b32K / 93.6 GB560
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB6413
XLAM V0.1 R32K / 93.6 GB15852
TeTO MS 8x7b32K / 93.7 GB64

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 v20241227
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