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Mistral 7B Instruct V0.1 by mistralai

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

  401386   
  Arxiv:2310.06825   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   License:apache-2.0   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.1 Benchmarks

LMSys ELO: 1008  vs  1158  (GPT-4) -13%
HF Avg Score: 62.23  vs  86.1  (GPT-4) -27.7%
ARC: 80.1-16.8%
HellaSwag: 64.1-32.7%
MMLU: 56.3-34.9%
GSM8K: 48.4-47.4%
OpenCompass Avg: 44.8  vs  73.3  (GPT-4) -38.9%
Exam: 60.4-21.8%
Language: 12.5-79.8%
Knowledge: 42.5-42.2%
Understanding: 62-11.4%
Reasoning: 44-40.9%
nn.n% — How the model compares to the GPT-4.

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  
Mistral 7B Instruct V0.1 (mistralai/Mistral-7B-Instruct-v0.1)

Quantized Models of the Mistral 7B Instruct V0.1

Model
Likes
Downloads
VRAM
Mistral 7B Instruct V0.1 GGUF495574813 GB
Mistral 7B Instruct V0.1 GPTQ733414984 GB
Mistral 7B Instruct V0.1 AWQ3580784 GB
Mistral 7B Instruct V0.1 GGUF23812 GB
Mistral 7B Instruct V0.1 GGUF11982 GB
Mixtral Chat 7b1277 GB
Mistral 7B Instruct V0.1 GPTQ144 GB
Mistral 7B Instruct V0.1 AWQ134 GB
Mixtral AI 7b0227 GB
...p 0.05 Max Grad1.0 Grad Accu320814 GB

Best Alternatives to Mistral 7B Instruct V0.1

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Mistral 7B Instruct V0.1 GGUF54.632K / 2.7 GB3812
Mistral 7B Instruct V0.1 GPTQ54.632K / 4.2 GB34149873
Mistral 7B Instruct V0.1 AWQ54.632K / 4.2 GB807835
Mistral 7B Instruct V0.1 GPTQ54.632K / 4.2 GB41
Mistral 7B Instruct V0.1 AWQ54.632K / 4.2 GB31
Mixtral Chat 7b54.632K / 7.7 GB271
Mixtral AI 7b54.632K / 7.7 GB220
... Summarize 64K QLoRANET Merged—128K / 4.1 GB170
...1 Summarize 64K LoRANET Merged—128K / 14.4 GB3590
...0.2 Neuron 1x2048 2 Cores 2.18—32K /  GB11

Mistral 7B Instruct V0.1 Parameters and Internals

LLM NameMistral 7B Instruct V0.1
RepositoryOpen on 🤗 
Model Size7b
Required VRAM14.4 GB
Updated2024-07-05
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801
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