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---
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).
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