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C4ai Command R Plus 4bit by mlx-community

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C4ai Command R Plus 4bit is an open-source language model by mlx-community. Features: 18.9b LLM, VRAM: 62.8GB, Context: 8K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.14.

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

C4ai Command R Plus 4bit Benchmarks

LLME Score: 0.13974
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 4bit (mlx-community/c4ai-command-r-plus-4bit)
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C4ai Command R Plus 4bit Parameters and Internals

Model Type 
text generation, multimodal assistance
Use Cases 
Areas:
research, commercial applications
Applications:
conversational AI, question answering
Primary Use Cases:
interactive assistance, information retrieval
Limitations:
Does not support commercial use due to license restrictions., Connection to internet search or specific tools may be limited.
Considerations:
Ensure compliance with non-commercial use policy as per the CC-BY-NC-4.0 license.
Additional Notes 
This model is primarily intended for educational and research purposes, with a focus on tool-augmented conversational capabilities.
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:
Formatted input using tool templates, either for direct generation or grounding on documents
Accepted Modalities:
text
Output Format:
Textual responses, either plain or grounded with citation markup
Performance Tips:
Ensure appropriate installation of mlx-lm and access to necessary tools for enhanced functionality.
LLM NameC4ai Command R Plus 4bit
Repository 🤗https://huggingface.co/mlx-community/c4ai-command-r-plus-4bit 
Model Size18.9b
Required VRAM62.8 GB
Updated2026-04-04
Maintainermlx-community
Model Typecohere
Model Files  0.0 GB: 1-of-13   6.3 GB: 2-of-13   5.3 GB: 3-of-13   5.3 GB: 4-of-13   5.3 GB: 5-of-13   5.3 GB: 6-of-13   5.3 GB: 7-of-13   5.3 GB: 8-of-13   5.3 GB: 9-of-13   5.3 GB: 10-of-13   5.3 GB: 11-of-13   5.3 GB: 12-of-13   3.5 GB: 13-of-13
Supported Languagesen fr de es it pt ja ko zh ar
Quantization Type4bit
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Padding Token<PAD>
Vocabulary Size256000
Torch Data Typefloat16

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...ai Command R Plus EXL2 2.75bpw8K / 44.6 GB33
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...4ai Command R Plus EXL2 5.5bpw8K / 80.2 GB21
...4ai Command R Plus EXL2 6.5bpw8K / 93.1 GB50
...ommand R V01 EXL2 3.5bpw Rpcal8K / 21.2 GB52
C4ai Command R V01 EXL2 6.0bpw8K / 32.1 GB53
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/c4ai-command-r-plus-4bit.

Rank the C4ai Command R Plus 4bit 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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