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ricdomolm
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Model Details
Model Provider
ricdomolm
Model Tree
Qwen/Qwen3-4B-Instruct-2507
Input Modalities
Output Modalities
Supported Functionality
This example shows how to generate SWE-bench trajectories using mini-swe-agent as the agentic scaffolding (recommended) and vLLM as the local inference engine.
First, launch a vLLM server with your chosen model. For example:
bash
vllm serve ricdomolm/mini-coder-4b &By default, the server will be available at http://localhost:8000.
Second, edit the mini-swe-agent SWE-bench config file located in src/minisweagent/config/extra/swebench.yaml to include your local vLLM model:
yaml
model: model_name: "hosted_vllm/ricdomolm/mini-coder-4b" # or hosted_vllm/path/to/local/model model_kwargs: api_base: "http://localhost:8000/v1" # adjust if using a non-default port/addressCreate a litellm registry.json file:
bash
cat > registry.json <<'EOF'{ "ricdomolm/mini-coder-4b": { "max_tokens": 64000, "input_cost_per_token": 0.0, "output_cost_per_token": 0.0, "litellm_provider": "hosted_vllm", "mode": "chat" }}EOFNow you’re ready to generate trajectories! Let's solve the django__django-11099 instance of SWE-bench Verified:
bash
LITELLM_MODEL_REGISTRY_PATH=registry.json mini-extra swebench --output test/ --subset verified --split test --filter '^(django__django-11099)$'You should now see the generated trajectory in the test/ directory.
bibtext
@article{olmedo2026computational, title={Computational Arbitrage in AI Model Markets}, author={Olmedo, Ricardo and Sch{\"o}lkopf, Bernhard and Hardt, Moritz}, journal={arXiv preprint arXiv:2603.22404}, year={2026}}cat > registry.json <<'EOF'{ "ricdomolm/mini-coder-4b": { "max_tokens": 64000, "input_cost_per_token": 0.0, "output_cost_per_token": 0.0, "litellm_provider": "hosted_vllm", "mode": "chat" }}EOFLITELLM_MODEL_REGISTRY_PATH=registry.json mini-extra swebench --output test/ --subset verified --split test --filter '^(django__django-11099)$'@article{olmedo2026computational, title={Computational Arbitrage in AI Model Markets}, author={Olmedo, Ricardo and Sch{\"o}lkopf, Bernhard and Hardt, Moritz}, journal={arXiv preprint arXiv:2603.22404}, year={2026}}model: model_name: "hosted_vllm/ricdomolm/mini-coder-4b" # or hosted_vllm/path/to/local/model model_kwargs: api_base: "http://localhost:8000/v1" # adjust if using a non-default port/address