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C4ai Command R Plus 08 2024 by unsloth

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C4ai Command R Plus 08 2024 is an open-source language model by unsloth. Features: 103.8b LLM, VRAM: 206.8GB, Context: 128K, License: cc-by-nc-4.0, LLM Explorer Score: 0.28, ELO: 1276.

Base model:coherelabs/c4ai-com... Base model:finetune:coherelabs...   Cohere   Conversational   En   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/c4ai-command-r-plus-08-2024 

C4ai Command R Plus 08 2024 Benchmarks

LMSys ELO: 1276 vs 1272 (so35)0.3%
LLME Score: 0.28119
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 08 2024 (unsloth/c4ai-command-r-plus-08-2024)
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C4ai Command R Plus 08 2024 Parameters and Internals

Model Type 
language generation, multilingual model, transformer, RAG, tool use
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Reasoning, Summarization, Question Answering
Additional Notes 
This model supports conversational tool use and grounded generation capabilities.
Supported Languages 
languages_trained_on (English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, Simplified Chinese, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, Persian), languages_evaluated_on (English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, Simplified Chinese)
Training Details 
Methodology:
Supervised Fine-Tuning (SFT) and preference training
Context Length:
128000
Model Architecture:
Optimized transformer architecture with supervised and preference fine-tuning including Grouped Query Attention (GQA) for improved inference speed.
Input Output 
Input Format:
Text input
Output Format:
Text generation
LLM NameC4ai Command R Plus 08 2024
Repository 🤗https://huggingface.co/unsloth/c4ai-command-r-plus-08-2024 
Base Model(s)  CohereForAI/c4ai-command-r-plus-08-2024   CohereForAI/c4ai-command-r-plus-08-2024
Model Size103.8b
Required VRAM206.8 GB
Updated2026-02-21
Maintainerunsloth
Model Typecohere
Model Files  6.3 GB: 1-of-44   4.6 GB: 2-of-44   4.8 GB: 3-of-44   4.6 GB: 4-of-44   4.8 GB: 5-of-44   4.6 GB: 6-of-44   4.8 GB: 7-of-44   4.6 GB: 8-of-44   4.8 GB: 9-of-44   4.6 GB: 10-of-44   4.8 GB: 11-of-44   4.6 GB: 12-of-44   4.8 GB: 13-of-44   4.6 GB: 14-of-44   4.8 GB: 15-of-44   4.6 GB: 16-of-44   4.8 GB: 17-of-44   4.6 GB: 18-of-44   4.8 GB: 19-of-44   4.6 GB: 20-of-44   4.8 GB: 21-of-44   4.6 GB: 22-of-44   4.8 GB: 23-of-44   4.6 GB: 24-of-44   4.8 GB: 25-of-44   4.6 GB: 26-of-44   4.8 GB: 27-of-44   4.6 GB: 28-of-44   4.8 GB: 29-of-44   4.6 GB: 30-of-44   4.8 GB: 31-of-44   4.6 GB: 32-of-44   4.8 GB: 33-of-44   4.6 GB: 34-of-44   4.8 GB: 35-of-44   4.6 GB: 36-of-44   4.8 GB: 37-of-44   4.6 GB: 38-of-44   4.8 GB: 39-of-44   4.6 GB: 40-of-44   4.8 GB: 41-of-44   4.6 GB: 42-of-44   4.8 GB: 43-of-44   3.1 GB: 44-of-44
Supported Languagesen
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Vocabulary Size256000
Torch Data Typebfloat16

Rank the C4ai Command R Plus 08 2024 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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