---
license: apache-2.0
---

# The Quantized Command R Model

Original Base Model: `CohereForAI/c4ai-command-r-v01`.<br>
Link: [https://huggingface.co/CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)

## Special Notice

(1) Please note the model is quantized by utilizing the `AutoModelForCausalLM.from_pretrained` in the `transformers` package.

(2) For the model quantized by `auto-gptq` package, please check the link here: [https://huggingface.co/shuyuej/Command-R-GPTQ](https://huggingface.co/shuyuej/Command-R-GPTQ).

(3) This model is a smaller one by setting `group_size=1024`.

## Quantization Configurations
```
"quantization_config": {
    "batch_size": 1,
    "bits": 4,
    "block_name_to_quantize": null,
    "cache_block_outputs": true,
    "damp_percent": 0.1,
    "dataset": null,
    "desc_act": false,
    "exllama_config": {
      "version": 1
    },
    "group_size": 1024,
    "max_input_length": null,
    "model_seqlen": null,
    "module_name_preceding_first_block": null,
    "modules_in_block_to_quantize": null,
    "pad_token_id": null,
    "quant_method": "gptq",
    "sym": true,
    "tokenizer": null,
    "true_sequential": true,
    "use_cuda_fp16": false,
    "use_exllama": true
  },
```

## Source Codes
Source Codes: [https://github.com/vkola-lab/medpodgpt/tree/main/quantization](https://github.com/vkola-lab/medpodgpt/tree/main/quantization).