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C4ai Command R V01 EXL2 3.5bpw Rpcal by Dracones

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Model Card on HF 🤗: https://huggingface.co/Dracones/c4ai-command-r-v01_exl2_3.5bpw-rpcal 

C4ai Command R V01 EXL2 3.5bpw Rpcal Benchmarks

LLME Score: 0.17788
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 V01 EXL2 3.5bpw Rpcal (Dracones/c4ai-command-r-v01_exl2_3.5bpw-rpcal)

C4ai Command R V01 EXL2 3.5bpw Rpcal Parameters and Internals

Model Type 
text generation
Supported Languages 
en (high), fr (high), de (high), es (high), it (high), pt (high), ja (high), ko (high), zh (high), ar (high)
LLM NameC4ai Command R V01 EXL2 3.5bpw Rpcal
Repository 🤗https://huggingface.co/Dracones/c4ai-command-r-v01_exl2_3.5bpw-rpcal 
Required VRAM21.2 GB
Updated2025-02-22
MaintainerDracones
Model Typecohere
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   4.0 GB: 3-of-3
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 Version4.38.2
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 Dracones/c4ai-command-r-v01_exl2_3.5bpw-rpcal.

Rank the C4ai Command R V01 EXL2 3.5bpw Rpcal 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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