Instructions to use numen-tech/Qwen2.5-7B-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/Qwen2.5-7B-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_0.bin from numen-tech/Qwen2.5-7B-Instruct-GPTQ-Int4: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/numen-tech/Qwen2.5-7B-Instruct-GPTQ-Int4/resolve/main/params_shard_0.bin
- Command line
-
hf download hf://numen-tech/Qwen2.5-7B-Instruct-GPTQ-Int4/params_shard_0.bin
-
curl -L -o params_shard_0.bin https://huggingface.co/numen-tech/Qwen2.5-7B-Instruct-GPTQ-Int4/resolve/main/params_shard_0.bin
272 MB
- Xet hash:
- 8ee2c8a9d3e5b3e219e370393fcf45b9b3c645066212afe5ade736a598b4b58b
- Size of remote file:
- 272 MB
- SHA256:
- 8c39365f4790e5fa7cb1a7ac7ceb462b7b1c5a10a9eee3ea31fcc6648439ca66
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