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Mixtral 8x7B Instruct V0.1 by mistralai

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Mixtral 8x7B Instruct V0.1 Benchmarks

MMLU Pro: 29.36
GPQA: 7.61
MUSR: 12.11
BBH: 34.02
IFEval: 53.95 vs 88 (so35)-38.7%
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: 9.06
LLME Score: 0.49402
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 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
Updated2024-11-21
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)

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VRAM
...ixtral 8x7B Instruct V0.1 GGUF6044401615 GB
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...ixtral 8x7B Instruct V0.1 GGUF214417 GB
...ixtral 8x7B Instruct V0.1 GGUF521517 GB
Notux 8x7b V1.3.5bpw H6 EXL21820 GB
Notux 8x7b V1.3.5bpw EXL22220 GB
...es Mixtral 8x7B 2.4bpw H6 EXL22514 GB
...es Mixtral 8x7B 6.0bpw H6 EXL21335 GB
...es Mixtral 8x7B 3.0bpw H6 EXL21117 GB

Best Alternatives to Mixtral 8x7B Instruct V0.1

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...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB5073722
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Notux 8x7b V132K / 93.6 GB57165
BagelMIsteryTour V2 8x7B32K / 93.5 GB9216
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB166463
Karakuri Lm 8x7b Instruct V0.132K / 93.6 GB110419
Autotrain Xva0j Mixtral8x7b32K / 93.6 GB690
XLAM V0.1 R32K / 93.6 GB17852
TeTO MS 8x7b32K / 93.7 GB254

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 v20241110
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