Instructions to use Gryphe/MythoMax-L2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gryphe/MythoMax-L2-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gryphe/MythoMax-L2-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Gryphe/MythoMax-L2-13b") model = AutoModelForCausalLM.from_pretrained("Gryphe/MythoMax-L2-13b") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Gryphe/MythoMax-L2-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gryphe/MythoMax-L2-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gryphe/MythoMax-L2-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Gryphe/MythoMax-L2-13b
- SGLang
How to use Gryphe/MythoMax-L2-13b 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 "Gryphe/MythoMax-L2-13b" \ --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": "Gryphe/MythoMax-L2-13b", "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 "Gryphe/MythoMax-L2-13b" \ --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": "Gryphe/MythoMax-L2-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Gryphe/MythoMax-L2-13b with Docker Model Runner:
docker model run hf.co/Gryphe/MythoMax-L2-13b
Do you think this would be a suitable technique for getting OpenOrca to sound less like gpt4?
seriously its my biggest grip with the thing, its a thing of nightmares having a totally different model say 'as an ai language model' to you.
truly.
It could be, but you'd have to ensure there'd be no trace of OpenOrca in the first half of the model to ensure it never considers the infamous phrase to begin with.
you wanna help us work on our stuff and run a ton of crazy merging experiments ?
i think youd be interested in some of the projects weve got considering what ive seen here and on your repo.
As much as I'd like to accept such an offer I'm afraid I simply don't have the time to take on more work - There's all sorts of projects in the pipeline the coming weeks/months.
I appreciate the offer, of course!