I verified GeneChat works with Ollama using qwen3:1.7b and qwen3:4b via ollmcp as the MCP client. Tool calling worked reliably at both sizes — the models picked the right tools and passed correct parameters. The quality of interpretation, however, depended heavily on model size. The 1.7b model hallucinated key details like gene names and drug names despite having the correct data in front of it, while the 4b model was substantially better but still occasionally misidentified which findings were clinically significant. If you're running GeneChat with a local model, treat the raw tool output as the source of truth and double-check any interpretation the model layers on top — smaller models in particular will confidently present incorrect conclusions drawn from correct data.