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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: 0.46144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B V0.1 (mistralai/Mixtral-8x7B-v0.1)

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
Updated2024-12-26
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

Quantized Models of the Mixtral 8x7B V0.1

Model
Likes
Downloads
VRAM
Mixtral 8x7B V0.1 GGUF423457815 GB
Mixtral 8x7B V0.1 GPTQ12896723 GB
...hon Mixtral V1.3.75bpw H6 EXL23822 GB
Mixtral 8x7B V0.1 GGUF09417 GB
...Hermes 2 Mixtral 8x7B DPO 4bit182310 GB
...ixtral 8x7B DPO 5.0bpw H6 EXL271629 GB
... 8x7B DPO 3.7bpw H6 EXL2 Rpcal41621 GB
... 8x7B DPO 5.0bpw H6 EXL2 Rpcal11629 GB
...ixtral 8x7B SFT 5.0bpw H6 EXL212129 GB
...ixtral 8x7B SFT 6.0bpw H6 EXL221635 GB

Best Alternatives to Mixtral 8x7B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB31616584237
Nous Hermes 2 Mixtral 8x7B DPO32K / 93.6 GB3144420
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB194401221
GritLM 8x7B KTO32K / 93.6 GB35243
Smaug Mixtral V0.132K / 187.7 GB355412
...enbuddy Mixtral 7bx8 V18.1 32K32K / 93.7 GB105914
Merge Mixtral Prometheus 8x7B32K / 91.9 GB262
XLAM 8x7b R32K / 93.6 GB130611
Sensualize Mixtral Bf1632K / 93.6 GB00
Notux 8x7b V132K / 93.6 GB41165
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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Release v20241217
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