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C4ai Command R Plus Bnb 4bit Smashed by PrunaAI

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C4ai Command R Plus Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 55.1b LLM, VRAM: 62.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit   Bitsandbytes   Cohere   Pruna-ai   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/PrunaAI/c4ai-command-r-plus-bnb-4bit-smashed 

C4ai Command R Plus Bnb 4bit Smashed Benchmarks

LLME Score: 0.12865
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 Bnb 4bit Smashed (PrunaAI/c4ai-command-r-plus-bnb-4bit-smashed)
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C4ai Command R Plus Bnb 4bit Smashed Parameters and Internals

Model Type 
Compressed AI Model
Use Cases 
Considerations:
Efficiency results may vary in other settings (e.g., other hardware, image size, batch size). Direct testing in use-case conditions is recommended.
Additional Notes 
The model is compressed to potentially improve inference speed, memory, or energy consumption. First run may be slower due to CUDA overheads. Sync and Async metrics are provided for different use-case relevancies.
Training Details 
Data Sources:
WikiText
Methodology:
Compressed with llm-int8
Hardware Used:
NVIDIA A100-PCIE-40GB
LLM NameC4ai Command R Plus Bnb 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/c4ai-command-r-plus-bnb-4bit-smashed 
Model Size55.1b
Required VRAM62.8 GB
Updated2025-09-23
MaintainerPrunaAI
Model Typecohere
Model Files  6.3 GB: 1-of-13   4.8 GB: 2-of-13   5.0 GB: 3-of-13   5.0 GB: 4-of-13   4.8 GB: 5-of-13   4.9 GB: 6-of-13   4.8 GB: 7-of-13   4.9 GB: 8-of-13   4.8 GB: 9-of-13   4.9 GB: 10-of-13   4.8 GB: 11-of-13   4.9 GB: 12-of-13   2.9 GB: 13-of-13
Quantization Type4bit
Model ArchitectureCohereForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassCohereTokenizer
Padding Token<PAD>
Vocabulary Size256000
Torch Data Typefloat16

Rank the C4ai Command R Plus Bnb 4bit Smashed 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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