Arxiv:1910.09700 4-bit Autotrain compatible Cohere Custom code Endpoints compatible Gptq Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Cyleux/command-r-gptq
Command R Gptq Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Command R Gptq Parameters and Internals
| LLM Name | Command R Gptq |
| Repository 🤗 | https://huggingface.co/Cyleux/command-r-gptq |
| Model Size | 6.5b |
| Required VRAM | 21.3 GB |
| Updated | 2025-02-22 |
| Maintainer | Cyleux |
| Model Type | cohere |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | CohereForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | CohereTokenizerFast |
| Padding Token | <PAD> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Rank the Command R Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227