Instructions to use mhenrichsen/tinymix-8x1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhenrichsen/tinymix-8x1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mhenrichsen/tinymix-8x1b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mhenrichsen/tinymix-8x1b") model = AutoModelForCausalLM.from_pretrained("mhenrichsen/tinymix-8x1b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use mhenrichsen/tinymix-8x1b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mhenrichsen/tinymix-8x1b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mhenrichsen/tinymix-8x1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mhenrichsen/tinymix-8x1b
- SGLang
How to use mhenrichsen/tinymix-8x1b 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 "mhenrichsen/tinymix-8x1b" \ --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": "mhenrichsen/tinymix-8x1b", "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 "mhenrichsen/tinymix-8x1b" \ --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": "mhenrichsen/tinymix-8x1b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mhenrichsen/tinymix-8x1b with Docker Model Runner:
docker model run hf.co/mhenrichsen/tinymix-8x1b
This model is MoE consisting of 8 experts of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
This model is untrained, and will likely perform worse than the dense version.
Will start training it very soon.
Idea by eastwind, who did it for the chat version of the model.
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