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.q5_1.bin from TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML: direct link, hf CLI and curl.
- Browser
- Download file 5.06 GB
-
https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q5_1.bin
- Command line
-
hf download hf://TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/llama-2-7b-chat-codeCherryPop.ggmlv3.q5_1.bin
-
curl -L -o llama-2-7b-chat-codeCherryPop.ggmlv3.q5_1.bin https://huggingface.co/TheBloke/llama2-7b-chat-codeCherryPop-qLoRA-GGML/resolve/main/llama-2-7b-chat-codeCherryPop.ggmlv3.q5_1.bin
5.06 GB
- Xet hash:
- fbac8a02b9824910e0c5f734eba230a362be194e414aa9e40970caa25ae4891c
- Size of remote file:
- 5.06 GB
- SHA256:
- 0b6e7a06c1a26df8628f10c5953dec64d247184b641f917ed4ca9c477715950f
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