Mistral 7B Instruct V0.3 4bit by mlx-community

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Mistral 7B Instruct V0.3 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.19.

  4bit   Instruct   Mistral   Mlx   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.3 4bit 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 V0.3 4bit Parameters and Internals

LLM NameMistral 7B Instruct V0.3 4bit
Repository 🤗https://huggingface.co/mlx-community/Mistral-7B-Instruct-v0.3-4bit 
Model Size7b
Required VRAM4.1 GB
Updated2026-03-05
Maintainermlx-community
Model Typemistral
Instruction-BasedYes
Model Files  4.1 GB
Quantization Type4bit
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 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1275236
Mixtral V0.3 Full 16bit32K / 14.5 GB60
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
NaturalLM 7B Instruct32K / 14.5 GB1510
MistralContinuedFine32K / 14.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Mistral-7B-Instruct-v0.3-4bit.

Rank the Mistral 7B Instruct V0.3 4bit 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