Instructions to use Aryanne/Zephyr-3.43B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aryanne/Zephyr-3.43B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Aryanne/Zephyr-3.43B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Aryanne/Zephyr-3.43B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Aryanne/Zephyr-3.43B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Aryanne/Zephyr-3.43B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Aryanne/Zephyr-3.43B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Aryanne/Zephyr-3.43B
- SGLang
How to use Aryanne/Zephyr-3.43B 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 "Aryanne/Zephyr-3.43B" \ --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": "Aryanne/Zephyr-3.43B", "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 "Aryanne/Zephyr-3.43B" \ --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": "Aryanne/Zephyr-3.43B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Aryanne/Zephyr-3.43B with Docker Model Runner:
docker model run hf.co/Aryanne/Zephyr-3.43B
What is the secret behind selecting layers from different models ? :)
Amazing work. I can see you have selected different layers from different models. Is it random?
thanks π€, I tried in this merge to be kinda symmetrical, choosing the middle layers of Astridboros and some layers of the beginning and end of Zephyr
Thanks. Any logic behind the order? Also did you have to fine-tune the merged model again ?
Thanks. Any logic behind the order?
Symmetry, this way the model has in the middle 6 layers of PAIXAI/Astrid-3B and 6 layers of jondurbin/airoboros-3b-3p0(which both came from Astridboros), to have a bit of the style of both(kinda human-like/RP).
Also did you have to fine-tune the merged model again ?
I recommend fine-tuning it if you want, cause swapping and inserting layers seems to confuse the model a bit.
Thanks a lot