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Mistral 7B Instruct V0.1 by mistralai

 »  All LLMs  »  mistralai  »  Mistral 7B Instruct V0.1   URL Share it on

  191630   
  Arxiv:2310.06825   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 

Mistral 7B Instruct V0.1 Benchmarks

LMSys ELO: 1008 vs 1272 (so35)-20.8%
MMLU Pro: 15.72
MUSR: 6.13
BBH: 7.65
IFEval: 44.87 vs 88 (so35)-49%
ARC: 80.1 vs 96.7 (so35)-17.2%
HellaSwag: 64.1 vs 95.3 (gpt4)-32.7%
MMLU: 56.3 vs 88.3 (so35)-36.2%
TruthfulQA: 56.28 vs 59 (gpt4)-4.6%
WinoGrande: 73.72 vs 87.5 (gpt4)-15.7%
GSM8K: 48.4 vs 96.4 (so35)-49.8%
OpenCompas: 44.8 vs 73.3 (gpt4)-38.9%
Exam: 60.4 vs 77.2 (gpt4)-21.8%
Language: 12.5 vs 62 (gpt4)-79.8%
Knowledge: 42.5 vs 73.5 (gpt4)-42.2%
Understand: 62 vs 70 (gpt4)-11.4%
Reasoning: 44 vs 74.4 (gpt4)-40.9%
MATH Lvl 5: 2.27
LLME Score: 0.38762
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.1 (mistralai/Mistral-7B-Instruct-v0.1)

Mistral 7B Instruct V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Model does not have any moderation mechanisms
Considerations:
The model should be deployed in environments requiring moderated outputs.
Additional Notes 
This model is a fine-tuned version of the base model using a variety of publicly available conversation datasets.
LLM NameMistral 7B Instruct V0.1
Repository 🤗https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainermistralai
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   5.1 GB: 2-of-2
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Instruct V0.1

Model
Likes
Downloads
VRAM
Mistral 7B Instruct V0.1 GGUF5272777343 GB
Mistral 7B Instruct V0.1 AWQ38131104 GB
Mixtral Chat 7b2277 GB
Mistral 7B Instruct V0.1 GPTQ7952434 GB
Mistral 7B Instruct V0.1 AWQ1804 GB
Mistral 7B Instruct V0.1 GGUF11292 GB
Mistral 7B Instruct V0.1 GPTQ1874 GB
...p 0.05 Max Grad1.0 Grad Accu320514 GB
Mistral 7B Instruct V0.1 GGUF21482 GB
Mixtral AI 7b007 GB

Best Alternatives to Mistral 7B Instruct V0.1

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB462011
SpydazWeb AI HumanAI RP512K / 14.4 GB121
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB120
...1 Summarize 64K LoRANET Merged128K / 14.4 GB110
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB37505
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB37063
...ty Instruct 3M 0613 Mistral 7B32K / 14.4 GB560711
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-7B-Instruct-v0.1.

Rank the Mistral 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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