Instructions to use crumb/Gale-medium-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crumb/Gale-medium-init with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="crumb/Gale-medium-init")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("crumb/Gale-medium-init") model = AutoModelForCausalLM.from_pretrained("crumb/Gale-medium-init") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use crumb/Gale-medium-init with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "crumb/Gale-medium-init" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "crumb/Gale-medium-init", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/crumb/Gale-medium-init
- SGLang
How to use crumb/Gale-medium-init 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 "crumb/Gale-medium-init" \ --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": "crumb/Gale-medium-init", "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 "crumb/Gale-medium-init" \ --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": "crumb/Gale-medium-init", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use crumb/Gale-medium-init with Docker Model Runner:
docker model run hf.co/crumb/Gale-medium-init
Question
#1
by mrfakename - opened
Hi,
What exactly is this model, and what is it's license?
Thanks!
this model is an init from hand selected layers of mistral! its untrained so it cant generate text v well, i have a trained one coming soon though!! apache license, ill put it in the final repo
Thanks for the info! Are you planning to open source your distillation code?
its not actually a distillation! i just deleted layers, updated the config, and then finetuned on a text dataset w/ the huggingface trainer, I can probablt clean up the code and release it anyway though!