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C4ai Command R Plus 6.0bpw EXL2 by bullerwins

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Model Card on HF 🤗: https://huggingface.co/bullerwins/c4ai-command-r-plus-6.0bpw-exl2 

C4ai Command R Plus 6.0bpw EXL2 Benchmarks

LLME Score: 0.17704
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 6.0bpw EXL2 (bullerwins/c4ai-command-r-plus-6.0bpw-exl2)

C4ai Command R Plus 6.0bpw EXL2 Parameters and Internals

Model Type 
auto-regressive, multilingual
Use Cases 
Areas:
Research, Multilingual tasks
Primary Use Cases:
Reasoning, Summarization, Question Answering
Additional Notes 
Experimentation with prompt templates is encouraged.
Supported Languages 
English (advanced), French (advanced), German (advanced), Spanish (advanced), Italian (advanced), Portuguese (Brazil) (advanced), Japanese (advanced), Korean (advanced), Chinese (Simplified) (advanced), Arabic (advanced)
Training Details 
Data Sources:
English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Simplified Chinese, Arabic, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, Persian
Methodology:
Supervised fine-tuning (SFT) and preference training.
Context Length:
128000
Model Architecture:
Optimized transformer architecture.
Safety Evaluation 
Ethical Considerations:
Instructions to not answer harmful or immoral questions.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Deviating from the prompt template may reduce performance.
LLM NameC4ai Command R Plus 6.0bpw EXL2
Repository 🤗https://huggingface.co/bullerwins/c4ai-command-r-plus-6.0bpw-exl2 
Required VRAM86.8 GB
Updated2025-02-22
Maintainerbullerwins
Model Typecohere
Model Files  8.6 GB: 1-of-11   8.4 GB: 2-of-11   8.3 GB: 3-of-11   8.3 GB: 4-of-11   8.6 GB: 5-of-11   8.4 GB: 6-of-11   8.6 GB: 7-of-11   8.6 GB: 8-of-11   8.6 GB: 9-of-11   7.9 GB: 10-of-11   2.5 GB: 11-of-11
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 bullerwins/c4ai-command-r-plus-6.0bpw-exl2.

Rank the C4ai Command R Plus 6.0bpw EXL2 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 v20241227
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