- Data Preview: Have data but unsure what's inside? Explore it directly!
- Verifier View: evaluate generated data, remove duplicates, assign ratings

and many more!

github.com/mkurman/synt...

- Multi-turn Support: pass one DEEP run, let the model ask follow-up questions, and choose who should respond using SYNTH-like thinking
- Firebase/Firestore: download your data directly as a JSONL file or upload it to your Firestore (production mode)

- Generator: create your own dataset from scratch
- Converter: use existing datasets (Hugging Face support) with reasoning traces to match our SYNTH style
- DEEP Mode: multiple agents working together in various configurations

It has a minor bug that requires further fine-tuning (sometimes it starts with the <|python_tag|> instead of <Thought>.

I will definitely give it a try!

PS. You can find the model mentioned here: huggingface.co/meditsolutio...

License: Apache 2.0​​​​​​​​​​​​​​​​ 4/4

the model achieved better results in IFEval and a higher overall average score in Open LLM Leaderboard

I consider this a big success 😇, since surpassing the original in metrics is often very time-consuming, generates high costs, and doesn't always work out. 3/4

In total, not much really, since we don't have the original trained under the same conditions as our upscale. However...

1. We scaled up the model without losing its quality
2. We confirmed that the method we devised works
3. After extremely short fine-tuning, 2/4

Polish has a nice set of open data from the SpeakLeash initiative.

Link: speakleash.org