Instructions to use TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download llama-2-7b-chat-codeCherryPop.ggmlv3.q4_K_M.bin from TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML: direct link, hf CLI and curl.
- Browser
- Download file 4.08 GB
-
https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q4_K_M.bin
- Command line
-
hf download hf://TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/llama-2-7b-chat-codeCherryPop.ggmlv3.q4_K_M.bin
-
curl -L -o llama-2-7b-chat-codeCherryPop.ggmlv3.q4_K_M.bin https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q4_K_M.bin
4.08 GB
- Xet hash:
- caae943d1289d991a31ed7295c492db5238d23a57b2bbf2a3f7c3563dbb8486a
- Size of remote file:
- 4.08 GB
- SHA256:
- 0652a35e3d8cde0632e03a97924b51adf3945b22c7e000da1d21e81e52ac75e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.