Mistral 7B Instruct V0.2 4bit Mlx by mlx-community

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us

Mistral 7B Instruct V0.2 4bit Mlx 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 4bit Mlx (mlx-community/Mistral-7B-Instruct-v0.2-4bit-mlx)
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Mistral 7B Instruct V0.2 4bit Mlx Parameters and Internals

LLM NameMistral 7B Instruct V0.2 4bit Mlx
Repository ๐Ÿค—https://huggingface.co/mlx-community/Mistral-7B-Instruct-v0.2-4bit-mlx 
Base Model(s)  mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx   mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx
Model Size7b
Required VRAM4.3 GB
Updated2025-09-23
Maintainermlx-community
Model Typemistral
Instruction-BasedYes
Model Files  4.3 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

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...al Nemo Instruct 2407 Bnb 4bit128K / 8.3 GB450229
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1305133
Mixtral V0.3 Full 16bit32K / 14.5 GB60
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB131
NaturalLM 7B Instruct32K / 14.5 GB2910
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Mistral-7B-Instruct-v0.2-4bit-mlx.

Rank the Mistral 7B Instruct V0.2 4bit Mlx Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124