Instructions to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF", filename="qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q8_0.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-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 lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
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 lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
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 lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF with Ollama:
ollama run hf.co/lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
- Unsloth Studio
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF 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 lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF 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 lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
- Lemonade
How to use lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q8_0-GGUF-Q8_0
List all available models
lemonade list
What was "Pruned"?
Thanks for the conversion to GGUF!
In the description, it says to refer to the original model's card. However, the original model's card is - blank.
Do you have any more information about this base model?
It was processed with REAPs defaults as far as i c an tell, which takes the minimal connection weights and weights with little output range and stuff like that. Look into how REAP works Not saying its not bug free realistically the weirdness you will observe in this you have to train out of it but I made the gguf so i could see if it was if the model needed huge training or not afterwards, it seems like it just needs some minor finetuning (seems pretty capable still)