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C4ai Command R Plus EXL2 8.0bpw by Dracones

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Model Card on HF 🤗: https://huggingface.co/Dracones/c4ai-command-r-plus_exl2_8.0bpw 

C4ai Command R Plus EXL2 8.0bpw Benchmarks

LLME Score: 0.14825
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 8.0bpw (Dracones/c4ai-command-r-plus_exl2_8.0bpw)
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C4ai Command R Plus EXL2 8.0bpw Parameters and Internals

Model Type 
text generation
Additional Notes 
These EXL2 quants may not be compatible with older versions of the exllamav2 library.
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ja (Japanese), ko (Korean), zh (Chinese), ar (Arabic)
Training Details 
Methodology:
EXL2 quantization
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Ensure using the latest version of the Text Generation WebUI for optimal performance.
LLM NameC4ai Command R Plus EXL2 8.0bpw
Repository 🤗https://huggingface.co/Dracones/c4ai-command-r-plus_exl2_8.0bpw 
Required VRAM109.8 GB
Updated2025-10-05
MaintainerDracones
Model Typecohere
Model Files  8.2 GB: 1-of-14   8.5 GB: 2-of-14   8.5 GB: 3-of-14   8.5 GB: 4-of-14   8.3 GB: 5-of-14   8.5 GB: 6-of-14   8.5 GB: 7-of-14   8.3 GB: 8-of-14   8.5 GB: 9-of-14   8.5 GB: 10-of-14   8.3 GB: 11-of-14   8.5 GB: 12-of-14   6.2 GB: 13-of-14   2.5 GB: 14-of-14
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_8.0bpw.

Rank the C4ai Command R Plus EXL2 8.0bpw 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 v20241124
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