Instructions to use Heralax/MythoMakiseMerged-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Heralax/MythoMakiseMerged-13b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Heralax/MythoMakiseMerged-13b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Heralax/MythoMakiseMerged-13b") model = AutoModelForCausalLM.from_pretrained("Heralax/MythoMakiseMerged-13b") - llama-cpp-python
How to use Heralax/MythoMakiseMerged-13b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Heralax/MythoMakiseMerged-13b", filename="MythoMakiseMerged-13b-q5km.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Heralax/MythoMakiseMerged-13b with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Heralax/MythoMakiseMerged-13b:F16 # Run inference directly in the terminal: llama-cli -hf Heralax/MythoMakiseMerged-13b:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Heralax/MythoMakiseMerged-13b:F16 # Run inference directly in the terminal: llama-cli -hf Heralax/MythoMakiseMerged-13b:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Heralax/MythoMakiseMerged-13b:F16 # Run inference directly in the terminal: ./llama-cli -hf Heralax/MythoMakiseMerged-13b:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Heralax/MythoMakiseMerged-13b:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Heralax/MythoMakiseMerged-13b:F16
Use Docker
docker model run hf.co/Heralax/MythoMakiseMerged-13b:F16
- LM Studio
- Jan
- vLLM
How to use Heralax/MythoMakiseMerged-13b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Heralax/MythoMakiseMerged-13b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Heralax/MythoMakiseMerged-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Heralax/MythoMakiseMerged-13b:F16
- SGLang
How to use Heralax/MythoMakiseMerged-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 "Heralax/MythoMakiseMerged-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": "Heralax/MythoMakiseMerged-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 "Heralax/MythoMakiseMerged-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": "Heralax/MythoMakiseMerged-13b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Ollama
How to use Heralax/MythoMakiseMerged-13b with Ollama:
ollama run hf.co/Heralax/MythoMakiseMerged-13b:F16
- Unsloth Studio
How to use Heralax/MythoMakiseMerged-13b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Heralax/MythoMakiseMerged-13b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Heralax/MythoMakiseMerged-13b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Heralax/MythoMakiseMerged-13b to start chatting
- Docker Model Runner
How to use Heralax/MythoMakiseMerged-13b with Docker Model Runner:
docker model run hf.co/Heralax/MythoMakiseMerged-13b:F16
- Lemonade
How to use Heralax/MythoMakiseMerged-13b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Heralax/MythoMakiseMerged-13b:F16
Run and chat with the model
lemonade run user.MythoMakiseMerged-13b-F16
List all available models
lemonade list
Upload 13 files
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special_tokens_map.json
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{
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| 4 |
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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tokenizer_config.json
ADDED
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| 25 |
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| 26 |
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