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C4ai Command R Plus EXL2 2.75bpw by Dracones

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C4ai Command R Plus EXL2 2.75bpw is an open-source language model by Dracones. Features: LLM, VRAM: 44.6GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.13.

  Ar   Cohere   De   En   Endpoints compatible   Es   Exl2   Fr   It   Ja   Ko   Pt   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Dracones/c4ai-command-r-plus_exl2_2.75bpw 

C4ai Command R Plus EXL2 2.75bpw Benchmarks

LLME Score: 0.12926
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
C4ai Command R Plus EXL2 2.75bpw (Dracones/c4ai-command-r-plus_exl2_2.75bpw)
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C4ai Command R Plus EXL2 2.75bpw Parameters and Internals

Model Type 
Text Generation
Additional Notes 
EXL2 version 0.0.18 may not work with older exllamav2 library versions.
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ja (Japanese), ko (Korean), zh (Chinese), ar (Arabic)
Input Output 
Input Format:
BOS_TOKEN in starter prompt YAML format
Accepted Modalities:
text
Performance Tips:
Update Text Generation WebUI to the latest version if there are loading issues.
LLM NameC4ai Command R Plus EXL2 2.75bpw
Repository 🤗https://huggingface.co/Dracones/c4ai-command-r-plus_exl2_2.75bpw 
Required VRAM44.6 GB
Updated2026-03-08
MaintainerDracones
Model Typecohere
Model Files  8.6 GB: 1-of-6   8.6 GB: 2-of-6   8.5 GB: 3-of-6   8.6 GB: 4-of-6   7.8 GB: 5-of-6   2.5 GB: 6-of-6
Supported Languagesen fr de es it pt ja ko zh ar
Quantization Typeexl2
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassCohereTokenizerFast
Padding Token<PAD>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Dracones/c4ai-command-r-plus_exl2_2.75bpw.

Rank the C4ai Command R Plus EXL2 2.75bpw 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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