Devstral 2 123B Instruct 2512 by BrainForge

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Devstral 2 123B Instruct 2512 is an open-source language model by BrainForge. Features: 123b LLM, VRAM: 69.6GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.32.

  4-bit   Gptq   Instruct   Ministral3   Region:us   Safetensors   Sharded   Tensorflow

Devstral 2 123B Instruct 2512 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Devstral 2 123B Instruct 2512 (BrainForge/Devstral-2-123B-Instruct-2512)
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Devstral 2 123B Instruct 2512 Parameters and Internals

LLM NameDevstral 2 123B Instruct 2512
Repository ๐Ÿค—https://huggingface.co/BrainForge/Devstral-2-123B-Instruct-2512 
Model Size123b
Required VRAM69.6 GB
Updated2026-04-07
MaintainerBrainForge
Model Typeministral3
Instruction-BasedYes
Model Files  5.2 GB: 1-of-14   5.2 GB: 2-of-14   5.2 GB: 3-of-14   5.3 GB: 4-of-14   5.3 GB: 5-of-14   5.2 GB: 6-of-14   5.3 GB: 7-of-14   5.3 GB: 8-of-14   5.2 GB: 9-of-14   5.3 GB: 10-of-14   5.3 GB: 11-of-14   5.2 GB: 12-of-14   3.4 GB: 13-of-14   3.2 GB: 14-of-14
Model ArchitectureMinistral3ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassTokenizersBackend
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

Best Alternatives to Devstral 2 123B Instruct 2512

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Devstral 2 123B Instruct 2512256K / 196.3 GB88301310
Note: green Score (e.g. "73.2") means that the model is better than BrainForge/Devstral-2-123B-Instruct-2512.

Rank the Devstral 2 123B Instruct 2512 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