Overview
Qwen 2.5 is the mature, heavily-benchmarked generation on the platform, including a dedicated 32B coder. Keep it when an existing pipeline is already tuned around this line and you want controlled training rather than a family jump.
Qwen 2.5 72B Instruct trains on your agent's own traces with LoRA adapters or full finetuning, is benchmarked against your production model before any traffic moves, and serves through the same OpenAI-compatible API as every Overmind model. The final weights are yours to download and run anywhere.
Good for
- Pipelines already tuned on Qwen 2.5
- Code specialists at 32B
- Stable baselines for eval-driven iteration
More in Qwen 2.5
Specs & cost
On Overmind
01 Train on your data
LoRA or full finetuning on a training-intent dataset from your agent's traces. Overmind recommends tiers from your data stats; you can edit every setting.
02 Benchmark vs production
Each finished model is scored on your eval set with your rubric against the model your agent runs today. The headline is the baseline delta per metric.
03 Serve and own the weights
Succeeded runs deploy automatically to Inference through the same OpenAI-compatible API. The final weights are yours to download and run anywhere.