Instructions to use TheBloke/Llama-2-7B-Chat-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/Llama-2-7B-Chat-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TheBloke/Llama-2-7B-Chat-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/Llama-2-7B-Chat-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use TheBloke/Llama-2-7B-Chat-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TheBloke/Llama-2-7B-Chat-GGML" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheBloke/Llama-2-7B-Chat-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TheBloke/Llama-2-7B-Chat-GGML
- SGLang
How to use TheBloke/Llama-2-7B-Chat-GGML with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "TheBloke/Llama-2-7B-Chat-GGML" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheBloke/Llama-2-7B-Chat-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "TheBloke/Llama-2-7B-Chat-GGML" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheBloke/Llama-2-7B-Chat-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TheBloke/Llama-2-7B-Chat-GGML with Docker Model Runner:
docker model run hf.co/TheBloke/Llama-2-7B-Chat-GGML
License for commercial use
Hi,
Many thanks for releasing these GGML files for use! That's pretty helpful!
Could you please let us know if those GGML files listed in 'Files and versions' tab are all available for commercial use?
Many thanks!
Yes they are. Please see LICENSE.txt and USE_POLICY.md for license terms, and if you have any doubts please refer to the original Meta Llama repo listed at the top of my README.
Yes they are. Please see LICENSE.txt and USE_POLICY.md for license terms, and if you have any doubts please refer to the original Meta Llama repo listed at the top of my README.
Many thanks for your reply!
Could we know if those Llama 2 -7B models support multiple languages or it just supports English only?
Thank you!
I've not tried them in non-English. I believe they will work to some extent in non-English, though they may need additional fine tuning to perform well in non-English.