Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
Eric111/caTUNABeagle
Eric111/AlphaMayo
text-generation-inference
Instructions to use Eric111/CatunaMayo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eric111/CatunaMayo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Eric111/CatunaMayo")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Eric111/CatunaMayo") model = AutoModelForCausalLM.from_pretrained("Eric111/CatunaMayo") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Eric111/CatunaMayo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Eric111/CatunaMayo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Eric111/CatunaMayo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Eric111/CatunaMayo
- SGLang
How to use Eric111/CatunaMayo 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 "Eric111/CatunaMayo" \ --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": "Eric111/CatunaMayo", "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 "Eric111/CatunaMayo" \ --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": "Eric111/CatunaMayo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Eric111/CatunaMayo with Docker Model Runner:
docker model run hf.co/Eric111/CatunaMayo
Acknowledgements: https://github.com/mlabonne/llm-course
CatunaMayo
CatunaMayo is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: Eric111/caTUNABeagle
layer_range: [0, 32]
- model: Eric111/AlphaMayo
layer_range: [0, 32]
merge_method: slerp
base_model: Eric111/caTUNABeagle
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
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docker model run hf.co/Eric111/CatunaMayo