Mistral 7B Instruct V0.2 by Featherless-Chat-Models

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Mistral 7B Instruct V0.2 is an open-source language model by Featherless-Chat-Models. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.35, ELO: 1149.

  Arxiv:2310.06825   Conversational   Finetuned   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.2 Benchmarks

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 Parameters and Internals

LLM NameMistral 7B Instruct V0.2
Repository 🤗https://huggingface.co/Featherless-Chat-Models/Mistral-7B-Instruct-v0.2 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-30
MaintainerFeatherless-Chat-Models
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
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... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB4038841832
Mixtral AI CyberCoder32K / 14.3 GB00
Mistral Stargate32K / 14.4 GB83
Note: green Score (e.g. "73.2") means that the model is better than Featherless-Chat-Models/Mistral-7B-Instruct-v0.2.

Rank the Mistral 7B Instruct V0.2 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 v20260328a