Instructions to use hotdogs/frankenmoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use hotdogs/frankenmoe with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf hotdogs/frankenmoe:Q4_K_M # Run inference directly in the terminal: llama cli -hf hotdogs/frankenmoe:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf hotdogs/frankenmoe:Q4_K_M # Run inference directly in the terminal: llama cli -hf hotdogs/frankenmoe:Q4_K_M
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 hotdogs/frankenmoe:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf hotdogs/frankenmoe:Q4_K_M
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 hotdogs/frankenmoe:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf hotdogs/frankenmoe:Q4_K_M
Use Docker
docker model run hf.co/hotdogs/frankenmoe:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use hotdogs/frankenmoe with Ollama:
ollama run hf.co/hotdogs/frankenmoe:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use hotdogs/frankenmoe with Docker Model Runner:
docker model run hf.co/hotdogs/frankenmoe:Q4_K_M
- Lemonade
How to use hotdogs/frankenmoe with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull hotdogs/frankenmoe:Q4_K_M
Run and chat with the model
lemonade run user.frankenmoe-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download coding/tokenizer_config.json from hotdogs/frankenmoe: direct link, hf CLI and curl.
- Browser
- Download file 371 Bytes
-
https://huggingface.co/hotdogs/frankenmoe/resolve/main/coding/tokenizer_config.json
- Command line
-
hf download hf://hotdogs/frankenmoe/coding/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hotdogs/frankenmoe/resolve/main/coding/tokenizer_config.json
371 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 1024, | |
| "pad_token": "<|im_end|>", | |
| "padding_side": "right", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |