Instructions to use Narsil/amall-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/amall-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Narsil/amall-7b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Narsil/amall-7b") model = AutoModelForCausalLM.from_pretrained("Narsil/amall-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Narsil/amall-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Narsil/amall-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Narsil/amall-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Narsil/amall-7b
- SGLang
How to use Narsil/amall-7b 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 "Narsil/amall-7b" \ --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": "Narsil/amall-7b", "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 "Narsil/amall-7b" \ --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": "Narsil/amall-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Narsil/amall-7b with Docker Model Runner:
docker model run hf.co/Narsil/amall-7b
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (1e5cb6812d513ff349e2b9920470142da28259e4) - Adds /home/user/.cache/huggingface/hub/models--Narsil--amall-7b/snapshots/4663759dcdff09ca489dfc1e18af2ed09e6adf89/model-00001-of-00002.safetensors (846e0eb6a4f0d4af31cefc72e54763752958c01a) - Adds /home/user/.cache/huggingface/hub/models--Narsil--amall-7b/snapshots/4663759dcdff09ca489dfc1e18af2ed09e6adf89/model-00002-of-00002.safetensors (2cec3d7bbbceba603d7356ad2eaf180a3fd2c4c1)6ed52d1 -
Delete model-00002-of-00002.safetensors
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Delete model-00001-of-00002.safetensors
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Duplicate from huggingface/llama-7b
Co-authored-by: Thomas Wang <TimeRobber@users.noreply.huggingface.co>b7cf5b2