I trained this on a small dataset as a test. It leaves something to be desired, but I think it is better. At some point, with reasoning enabled, it did a good job.
I am using the new Deepseek R1 to generate a larger dataset, but it is slow oging.... Currently at 2,431 API requests and climbing...
I am hoping to have comparable reasoning and non-reasoning datasets for the next stage.
Update - Deepseek R1 and Claude scripts are still going, now I'm at thousands of rows instead of hundreds. Planning on combining this with some math and code reasoning/non-reasoning to ensure other experts are fine tuned. This is getting pricey :D
- Downloads last month
- 20
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for SuperbEmphasis/Black-Eclipse-30B-A6B-RP-Test-Stage-1
Base model
Qwen/Qwen3-30B-A3B-Base