Instructions to use numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download params_shard_18.bin from numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4: direct link, hf CLI and curl.
- Browser
- Download file 33.9 MB
-
https://huggingface.co/numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4/resolve/main/params_shard_18.bin
- Command line
-
hf download hf://numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4/params_shard_18.bin
-
curl -L -o params_shard_18.bin https://huggingface.co/numen-tech/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4/resolve/main/params_shard_18.bin
33.9 MB
- Xet hash:
- 8e742679e709745ccbbf0f7a155e41195a8426c2f5a17a01c0d1bdb26193d1eb
- Size of remote file:
- 33.9 MB
- SHA256:
- c335dd0defcfcb1a7d7555f3ebe012a5a8ff33bf81c78f1cc4a5a53d091f99e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.