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
Whats the maximum context length for this model?
I want to use this with lmstudio and memgpt, and memgpt wants the context length set to the max:
https://memgpt.readthedocs.io/en/latest/lmstudio/#memgpt-lm-studio
it says: Make sure that "context length" is set (inside LM Studio's "Model Configuration" panel) to the max context length of the model you're using (e.g. 8000 for Mistral 7B variants).
Thanks!
@Samvanity > you ca check this for almost each model here on HF - go to the Files and versions tab up there > search for the config.json , click on it > look for the line "max_position_embeddings"
According to openrouter.ai rankings, the 8k context version of this model is exploding!
They refer to it as mythomax-l2-13b-8k, but I couldn't find it anywhere for download? Where is that?
@Gryphe ?
Heya! I believe someone created a 8k version but never published it, only making it available through a service of sorts.
Afraid that's about the extent of my knowledge at this point.
It should be perfectly fine, yeah! I got lotsa reports claiming that MythoMax should be very robust when it comes to RoPE scaling, even pushing it all the way to 16k.