Instructions to use mradermacher/Ling-Coder-lite-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Ling-Coder-lite-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Ling-Coder-lite-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Ling-Coder-lite-i1-GGUF 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 mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Ling-Coder-lite-i1-GGUF: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 mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Ling-Coder-lite-i1-GGUF: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 mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Ling-Coder-lite-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Ling-Coder-lite-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Ling-Coder-lite-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Ling-Coder-lite-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Ling-Coder-lite-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Request to upload the model weights to ModelScope
Hi Mradermacher Team,
We noticed that you have taken the initiative to convert and upload a GGUF-quantized version of Ling-Coder-Lite model weights to Hugging Face — thank you very much for your effort and contribution to the community!
As we're actively expanding the accessibility of our models across different platforms, we would like to ask whether you would be open to also uploading these GGUF-quantized weights to ModelScope (modelscope.cn), which is a widely used model platform in China.
If you are not planning to do so yourself, we would be more than happy to take the responsibility of uploading them on your behalf.
Looking forward to your reply!
Best regards,
Zion
CodeFuse, Ling Team
Hello Zion,
Nice to hear from you. We are actually planning to reupload top 1000 most downloaded models to modelscope in the near future.
I assume the re-upload would start on next week. The profile can be accessed here: https://www.modelscope.cn/profile/mradermacher
I have reuploaded this model and you can access it here: https://www.modelscope.cn/models/mradermacher/Ling-Coder-lite-i1-GGUF
If you have an ideas or suggestions, please let me know.
Best regards,
Richard
Hello Richard,
Thank you for your reply. We are very pleased you have already helped re-upload the weights to Modelscope. Thank you once again!
We greatly appreciate your help and look forward to continuing our collaboration.
Best regards,
Zion
I'd also like to mention that we don't pretend to have any rights, moral or otherwise, over these quants, so anybody could have uploaded them, of course. But your request has lead to an official representation of mradermacher on modelscope :)