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.q6_K.bin from TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML: direct link, hf CLI and curl.
- Browser
- Download file 5.53 GB
-
https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q6_K.bin
- Command line
-
hf download hf://TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/llama-2-7b-chat-codeCherryPop.ggmlv3.q6_K.bin
-
curl -L -o llama-2-7b-chat-codeCherryPop.ggmlv3.q6_K.bin https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q6_K.bin
5.53 GB
- Xet hash:
- d8bdac8a74cd78536c8b510ac1bd7a1573f09e1710301e4a7c6b41c6bc5dd620
- Size of remote file:
- 5.53 GB
- SHA256:
- 24a2097aba9bc63395654515618fb2ceeaea64452147ee5299990b636e4c00ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.