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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: 9.14
LLME Score: 0.41197
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 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
Updated2025-06-11
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
Mixtral 8x7B Instruct V0.1 (mistralai/Mixtral-8x7B-Instruct-v0.1)

Quantized Models of the Mixtral 8x7B Instruct V0.1

Model
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VRAM
...ixtral 8x7B Instruct V0.1 GGUF6213065715 GB
Mixtral 8x7B Instruct V0.1 AWQ575395324 GB
...ixtral 8x7B Instruct V0.1 GPTQ137937323 GB
...ixtral 8x7B Instruct V0.1 GGUF590817 GB
...ixtral 8x7B Instruct V0.1 GGUF219317 GB
Notux 8x7b V1.3.5bpw EXL222320 GB
Notux 8x7b V1.3.5bpw H6 EXL211320 GB
...es Mixtral 8x7B 6.0bpw H6 EXL214035 GB
...es Mixtral 8x7B 3.0bpw H6 EXL212417 GB
...es Mixtral 8x7B 2.4bpw H6 EXL221714 GB

Best Alternatives to Mixtral 8x7B Instruct V0.1

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Context / RAM
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Likes
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB90600
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Merge Mixtral Prometheus 8x7B32K / 91.9 GB222
Notux 8x7b V132K / 93.6 GB41164
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB31881235
BagelMIsteryTour V2 8x7B32K / 93.5 GB1316
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB28022
GritLM 8x7B32K / 93.6 GB724637
Karakuri Lm 8x7b Instruct V0.132K / 93.6 GB169019
Chinese Mixtral Instruct32K / 93.6 GB730120

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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