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.q3_K_M.bin from TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML: direct link, hf CLI and curl.
- Browser
- Download file 3.28 GB
-
https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q3_K_M.bin
- Command line
-
hf download hf://TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/llama-2-7b-chat-codeCherryPop.ggmlv3.q3_K_M.bin
-
curl -L -o llama-2-7b-chat-codeCherryPop.ggmlv3.q3_K_M.bin https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q3_K_M.bin
3.28 GB
- Xet hash:
- 9f4895eac1a762af0c6c397e1f304240e599d00ff9d5247b585cb572ed973318
- Size of remote file:
- 3.28 GB
- SHA256:
- c756fd4df072ea9390a957ead55b440a01258e3b31e66bec00dab9c108f0fca8
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