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Mistral 7B Instruct V0.3 by mlx-community

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Mistral 7B Instruct V0.3 is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Instruct   Mistral   Mlx   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Mistral-7B-Instruct-v0.3 

Mistral 7B Instruct V0.3 Benchmarks

LLME Score: 0.15806
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 V0.3 (mlx-community/Mistral-7B-Instruct-v0.3)
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Mistral 7B Instruct V0.3 Parameters and Internals

LLM NameMistral 7B Instruct V0.3
Repository 🤗https://huggingface.co/mlx-community/Mistral-7B-Instruct-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2026-04-02
Maintainermlx-community
Model Typemistral
Instruction-BasedYes
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

Best Alternatives to Mistral 7B Instruct V0.3

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...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 V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3727181828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Mistral-7B-Instruct-v0.3.

Rank the Mistral 7B Instruct V0.3 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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