Instructions to use 56m/MathQwen_3 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 56m/MathQwen_3 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 56m/MathQwen_3:Q5_K_M # Run inference directly in the terminal: llama cli -hf 56m/MathQwen_3:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf 56m/MathQwen_3:Q5_K_M # Run inference directly in the terminal: llama cli -hf 56m/MathQwen_3:Q5_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf 56m/MathQwen_3:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf 56m/MathQwen_3:Q5_K_M
Use Docker
docker model run hf.co/56m/MathQwen_3:Q5_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use 56m/MathQwen_3 with Ollama:
ollama run hf.co/56m/MathQwen_3:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use 56m/MathQwen_3 with Docker Model Runner:
docker model run hf.co/56m/MathQwen_3:Q5_K_M
- Lemonade
How to use 56m/MathQwen_3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull 56m/MathQwen_3:Q5_K_M
Run and chat with the model
lemonade run user.MathQwen_3-Q5_K_M
List all available models
lemonade list
- Atomic Chat
File size: 1,153 Bytes
1aa16b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"add_prefix_space": false,
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_token": "<|audio_pad|>",
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"errors": "replace",
"image_token": "<|image_pad|>",
"is_local": true,
"local_files_only": false,
"model_max_length": 262144,
"model_specific_special_tokens": {
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_token": "<|audio_pad|>",
"image_token": "<|image_pad|>",
"video_token": "<|video_pad|>",
"vision_bos_token": "<|vision_start|>",
"vision_eos_token": "<|vision_end|>"
},
"pad_token": "<|endoftext|>",
"padding_side": "left",
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null,
"video_token": "<|video_pad|>",
"vision_bos_token": "<|vision_start|>",
"vision_eos_token": "<|vision_end|>"
}
|