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Mistral 7B Instruct V0.2 by mistralai

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Mistral 7B Instruct V0.2 is an open-source language model by mistralai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: proprietary, Fine-Tuned, Instruction-Based, HF Score: 65.7, LLM Explorer Score: 0.49, ELO: 1087, Arc: 63.1, HellaSwag: 84.9, MMLU: 60.8, TruthfulQA: 68.3, WinoGrande: 77.2, GSM8K: 40.

  Arxiv:2310.06825   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2 

Mistral 7B Instruct V0.2 Benchmarks

LMSys ELO: 1087 vs 1272 (so35)-14.5%
MMLU Pro: 19.08
GPQA: 3.47
MUSR: 7.61
BBH: 22.91
IFEval: 54.96 vs 88 (so35)-37.5%
ARC: 63.14 vs 96.7 (so35)-34.7%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 60.78 vs 88.3 (so35)-31.2%
TruthfulQA: 68.26 vs 59 (gpt4)15.7%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 40.03 vs 96.4 (so35)-58.5%
MATH Lvl 5: 3.02
LLME Score: 0.49499
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 V0.2 (mistralai/Mistral-7B-Instruct-v0.2)
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Mistral 7B Instruct V0.2 Parameters and Internals

Model Type 
text-generation
LLM NameMistral 7B Instruct V0.2
Repository 🤗https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2 
Model Size7b
Required VRAM14.4 GB
Updated2025-01-29
Maintainermistralai
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.9 GB: 1-of-3   5.0 GB: 2-of-3   5.1 GB: 3-of-3
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Mistral 7B Instruct V0.2

Model
Likes
Downloads
VRAM
Lemonilia ShoriRP V0.75d180 GB
...ral 7B Instruct V0.2 Llamafile25218514 GB
ShoriRP V0.75d33520 GB
Mistral 7B Instruct V0.2 GGUF499773233 GB
Mistral 7B Instruct V0.2 AWQ523757754 GB
Mistral 7B Instruct V0.2 GPTQ54473604 GB
...ral 7B Instruct V0.2 Llamafile25711014 GB
...Instruct V0.2 AWQ 4bit Smashed184 GB
Mimi Chatbot 0.2054 GB
Mistral 7B Instruct V0.2 GGUF073 GB

Best Alternatives to Mistral 7B Instruct V0.2

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.132K / 14.4 GB4038841832
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Mistral Stargate32K / 14.4 GB83

Rank the Mistral 7B Instruct V0.2 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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