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C4ai Command R Plus GPTQ by alpindale

By alpindale · 3618 downloads
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C4ai Command R Plus GPTQ is an open-source language model by alpindale. Features: 103.8b LLM, VRAM: 58.6GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.14.

  4-bit   Ar   Cohere   Conversational   De   En   Endpoints compatible   Es   Fr   Gptq   It   Ja   Ko   Pt   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/alpindale/c4ai-command-r-plus-GPTQ 

C4ai Command R Plus GPTQ Parameters and Internals

Model Type 
Multilingual, Autoregressive, Language model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Reasoning, Summarization, Question answering, Tool use automation
Primary Use Cases:
Reasoning tasks, Summarization tasks, Question answering
Limitations:
May not perform well with unrecognized input structures, Deviations from prompt templates may reduce performance
Considerations:
Recommended to adhere to prompt structures for optimal performance.
Additional Notes 
Command R+ optimized for multilingual and complex task automation through multiple tool use.
Supported Languages 
English (Advanced), French (Advanced), Spanish (Advanced), Italian (Advanced), German (Advanced), Brazilian Portuguese (Advanced), Japanese (Advanced), Korean (Advanced), Simplified Chinese (Advanced), Arabic (Advanced), Russian (Pre-training included), Polish (Pre-training included), Turkish (Pre-training included), Vietnamese (Pre-training included), Dutch (Pre-training included), Czech (Pre-training included), Indonesian (Pre-training included), Ukrainian (Pre-training included), Romanian (Pre-training included), Greek (Pre-training included), Hindi (Pre-training included), Hebrew (Pre-training included), Persian (Pre-training included)
Training Details 
Data Sources:
Open internet sourced datasets
Methodology:
Mixture of supervised fine-tuning and preference training for alignment with human preferences.
Context Length:
128000
Model Architecture:
Optimized transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Includes monitoring of harmful outputs and optimization for safe responses through preference fine-tuning.
Input Output 
Input Format:
Text input only
Accepted Modalities:
Text
Output Format:
Text generation only
Performance Tips:
Use specified prompt templates to maintain performance levels.
LLM NameC4ai Command R Plus GPTQ
Repository 🤗https://huggingface.co/alpindale/c4ai-command-r-plus-GPTQ 
Model Size103.8b
Required VRAM58.6 GB
Updated2026-07-27
Maintaineralpindale
Model Typecohere
Model Files  6.3 GB: 1-of-12   5.0 GB: 2-of-12   5.0 GB: 3-of-12   4.9 GB: 4-of-12   4.9 GB: 5-of-12   4.9 GB: 6-of-12   4.9 GB: 7-of-12   4.9 GB: 8-of-12   4.9 GB: 9-of-12   4.9 GB: 10-of-12   4.9 GB: 11-of-12   3.1 GB: 12-of-12
Supported Languagesen fr de es it pt ja ko zh ar
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassCohereTokenizer
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 alpindale/c4ai-command-r-plus-GPTQ.