Instructions to use Jeethu/Qwen2.5-3B-Instruct-PLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use Jeethu/Qwen2.5-3B-Instruct-PLLM 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_25.bin from Jeethu/Qwen2.5-3B-Instruct-PLLM: direct link, hf CLI and curl.
- Browser
- Download file 31.7 MB
-
https://huggingface.co/Jeethu/Qwen2.5-3B-Instruct-PLLM/resolve/main/params_shard_25.bin
- Command line
-
hf download hf://Jeethu/Qwen2.5-3B-Instruct-PLLM/params_shard_25.bin
-
curl -L -o params_shard_25.bin https://huggingface.co/Jeethu/Qwen2.5-3B-Instruct-PLLM/resolve/main/params_shard_25.bin
31.7 MB
- Xet hash:
- d5d08f9d3eddccf00fbf574d69f3af5f8fcf62dd9a963c32495b65c945738617
- Size of remote file:
- 31.7 MB
- SHA256:
- 3185d2ec052a0798825251caf8b1f3adc73afd3ec487144b753aae6c856f520a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.