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Command R Gptq by NEURALDEEPTECH

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  4-bit   4bit   Autotrain compatible   Cohere   Endpoints compatible   Gptq   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/NEURALDEEPTECH/command-r-gptq 

Command R Gptq Benchmarks

LLME Score: 0.14427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Command R Gptq (NEURALDEEPTECH/command-r-gptq)
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Command R Gptq Parameters and Internals

LLM NameCommand R Gptq
Repository 🤗https://huggingface.co/NEURALDEEPTECH/command-r-gptq 
Required VRAM27.4 GB
Updated2025-09-23
MaintainerNEURALDEEPTECH
Model Typecohere
Model Files  27.4 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureCohereForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.1
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 NEURALDEEPTECH/command-r-gptq.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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