Devstral Samll 2507 Bf16 by mlx-community

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Devstral Samll 2507 Bf16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Devstral Samll 2507 Bf16 (mlx-community/Devstral-Samll-2507-bf16)
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Devstral Samll 2507 Bf16 Parameters and Internals

LLM NameDevstral Samll 2507 Bf16
Repository ๐Ÿค—https://huggingface.co/mlx-community/Devstral-Samll-2507-bf16 
Base Model(s)  Devstral Small 2507   mistralai/Devstral-Small-2507
Model Size23.6b
Required VRAM46.9 GB
Updated2025-08-31
Maintainermlx-community
Model Typemistral
Model Files  5.1 GB: 1-of-10   5.2 GB: 2-of-10   5.1 GB: 3-of-10   5.2 GB: 4-of-10   5.2 GB: 5-of-10   5.1 GB: 6-of-10   5.2 GB: 7-of-10   5.2 GB: 8-of-10   4.3 GB: 9-of-10   1.3 GB: 10-of-10
Supported Languagesen fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.53.1
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

Quantized Models of the Devstral Samll 2507 Bf16

Model
Likes
Downloads
VRAM
Devstral Small 2507 4bit DWQ1135513 GB

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Devstral-Samll-2507-bf16.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124