Instructions to use heldJan/llama-2-7b_TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heldJan/llama-2-7b_TEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="heldJan/llama-2-7b_TEST")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("heldJan/llama-2-7b_TEST", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use heldJan/llama-2-7b_TEST with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "heldJan/llama-2-7b_TEST" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "heldJan/llama-2-7b_TEST", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/heldJan/llama-2-7b_TEST
- SGLang
How to use heldJan/llama-2-7b_TEST 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 "heldJan/llama-2-7b_TEST" \ --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": "heldJan/llama-2-7b_TEST", "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 "heldJan/llama-2-7b_TEST" \ --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": "heldJan/llama-2-7b_TEST", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use heldJan/llama-2-7b_TEST with Docker Model Runner:
docker model run hf.co/heldJan/llama-2-7b_TEST
Upload VideoChatGPTLlamaForCausalLM
Browse files- config.json +3 -3
- model-00001-of-00003.safetensors +2 -2
- model-00003-of-00003.safetensors +2 -2
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config.json
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"_name_or_path": "
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"torch_dtype": "float16",
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"tune_mm_mlp_adapter": false,
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"architectures": [
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"VideoChatGPTLlamaForCausalLM"
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],
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"tune_mm_mlp_adapter": false,
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"use_cache": true,
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