Instructions to use Maykeye/TinyLLama-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maykeye/TinyLLama-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Maykeye/TinyLLama-v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Maykeye/TinyLLama-v0") model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Maykeye/TinyLLama-v0 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Maykeye/TinyLLama-v0" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Maykeye/TinyLLama-v0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Maykeye/TinyLLama-v0
- SGLang
How to use Maykeye/TinyLLama-v0 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 "Maykeye/TinyLLama-v0" \ --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": "Maykeye/TinyLLama-v0", "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 "Maykeye/TinyLLama-v0" \ --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": "Maykeye/TinyLLama-v0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Maykeye/TinyLLama-v0 with Docker Model Runner:
docker model run hf.co/Maykeye/TinyLLama-v0
Commit History
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Adding ONNX file of this model (#4)
Verified signature- Adding ONNX file of this model (8dfc295621f009e34e74b94f4af736b94eee8da1) Co-authored-by: MrSomething <mrm8848@users.noreply.huggingface.co>2983388
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (38a09985487361b5852c67390d26a734c39cdb4a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8c7ff07
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Fixed tokenizer conversion
MaykeyeOn my cloud GPU tokenizer loads fine, so catch doesn't trigger and except block isn't executed. So we need to save it in try-block as well46068d3 -
Initial commit
Maykeye4d5aebb -
initial commit
GG61e27ee