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BLS Mini Code 1.0 by CohereLabs

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BLS Mini Code 1.0 is an open-source language model by CohereLabs. Features: 30.5b LLM, VRAM: 55.6GB, Context: 488K, LLM Explorer Score: 0.48.

  Cohere2 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CohereLabs/BLS-Mini-Code-1.0 

BLS Mini Code 1.0 Benchmarks

LLME Score: 0.4777
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BLS Mini Code 1.0 (CohereLabs/BLS-Mini-Code-1.0)
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BLS Mini Code 1.0 Parameters and Internals

LLM NameBLS Mini Code 1.0
Repository 🤗https://huggingface.co/CohereLabs/BLS-Mini-Code-1.0 
Model Size30.5b
Required VRAM55.6 GB
Updated2026-06-08
MaintainerCohereLabs
Model Typecohere2_moe
Model Files  1.6 GB: 1-of-49   1.2 GB: 2-of-49   1.2 GB: 3-of-49   1.2 GB: 4-of-49   1.2 GB: 5-of-49   1.2 GB: 6-of-49   1.2 GB: 7-of-49   1.2 GB: 8-of-49   1.2 GB: 9-of-49   1.2 GB: 10-of-49   1.2 GB: 11-of-49   1.2 GB: 12-of-49   1.2 GB: 13-of-49   1.2 GB: 14-of-49   1.2 GB: 15-of-49   1.2 GB: 16-of-49   1.2 GB: 17-of-49   1.2 GB: 18-of-49   1.2 GB: 19-of-49   1.2 GB: 20-of-49   1.2 GB: 21-of-49   1.2 GB: 22-of-49   1.2 GB: 23-of-49   1.2 GB: 24-of-49   1.2 GB: 25-of-49   1.2 GB: 26-of-49   1.2 GB: 27-of-49   1.2 GB: 28-of-49   1.2 GB: 29-of-49   1.2 GB: 30-of-49   1.2 GB: 31-of-49   1.2 GB: 32-of-49   1.2 GB: 33-of-49   1.2 GB: 34-of-49   1.2 GB: 35-of-49   1.2 GB: 36-of-49   1.2 GB: 37-of-49   1.2 GB: 38-of-49   1.2 GB: 39-of-49   1.2 GB: 40-of-49   1.2 GB: 41-of-49   1.2 GB: 42-of-49   1.2 GB: 43-of-49   1.2 GB: 44-of-49   1.2 GB: 45-of-49   1.2 GB: 46-of-49
Model ArchitectureCohere2MoeForCausalLM
Context Length500000
Model Max Length500000
Transformers Version5.8.0
Vocabulary Size262144

Rank the BLS Mini Code 1.0 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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