Instructions to use TheBloke/Llama-2-70B-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/Llama-2-70B-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TheBloke/Llama-2-70B-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/Llama-2-70B-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use TheBloke/Llama-2-70B-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TheBloke/Llama-2-70B-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-2-70B-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TheBloke/Llama-2-70B-GGML
- SGLang
How to use TheBloke/Llama-2-70B-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-2-70B-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-2-70B-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-2-70B-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-2-70B-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TheBloke/Llama-2-70B-GGML with Docker Model Runner:
docker model run hf.co/TheBloke/Llama-2-70B-GGML
Error while loading llama-2
#3
by zuhashaik - opened
I initially loaded the GGML version by mistake instead of GGUF and discovered that LLama.cpp doesn't support GGML. I then converted it to GGUF using the LLama.cpp repository, but I'm still encountering the same error.
modelq2gguf='/media/iiit/Karvalo/zuhair/llama/llama70b_q2/llama-2-70b.gguf.q2_K.bin'
llm = LlamaCpp(
model_path=modelq2gguf,
temperature=0.75,
max_tokens=2000,
top_p=1,
callback_manager=callback_manager,
verbose=True, # Verbose is required to pass to the callback manager
)
ValidationError: 1 validation error for LlamaCpp
root
Could not load Llama model from path: /media/iiit/Karvalo/zuhair/llama/llama70b_q2/llama-2-70b.gguf.q2_K.bin. Received error (type=value_error)
zuhashaik changed discussion status to closed