SWE-Lego-Qwen3-8B

17
2
license:apache-2.0
by
SWE-Lego
Other
OTHER
8B params
New
17 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
18GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
8GB+ RAM

Code Examples

Reproduction Guide 🎯bashvllm
conda create -n vllm python=3.12 -y
conda activate vllm
pip install vllm
bash
cd SWE-Lego/OpenHands-0.53.0
conda create -n openhands python=3.12 -y
conda activate openhands
conda install -c conda-forge nodejs=24.4.1 
conda install -c conda-forge poetry=2.1.4
pip install python-dateutil==2.9.0.post0
poetry run pip install datasets
make build
1.3 Installing swebench environmentbash
cd SWE-Lego/SWE-bench-4.0.4
conda create -n swebench python=3.12 -y
conda activate swebench
pip install -e .
1.4 Installing llamafactory environmentbash
cd SWE-Lego/LLaMA-Factory-0.9.4.dev0
conda create -n lf python=3.12 -y
conda activate lf

pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
pip install -e ".[torch,metrics,deepspeed,liger-kernel]" --no-build-isolation

# install flash-attn
wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp312-cp312-linux_x86_64.whl
pip install flash_attn-2.8.3+cu12torch2.8cxx11abiFALSE-cp312-cp312-linux_x86_64.whl

pip install wandb
🤖 2. Inference and Evaluation of SWE-Lego-Qwen3-8B/32Bbashvllm
bash scripts/swe_lego_qwen3_32b/serve_vllm.sh

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