exnivo/tinybrain-instruct-sft-200k
TinyBrain Instruct 200K A 196k+ row English SFT dataset for training tiny instruction-following language models. TinyBrain Instruct 200K is a synthetic supervised fine-tuning dataset made for small language models, especially models around 100M–500M parameters. The dataset focuses on short, clear, learnable assistant responses across education, basic math reasoning, clean conversation, planning, simplification, simple coding, and honesty/uncertainty behavior. Most… See the full description on the dataset page: https://huggingface.co/datasets/exnivo/tinybrain-instruct-sft-200k.
| Author / organization | exnivo |
|---|---|
| License (as declared) | other |
| Downloads | 134 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 24 June 2026 |
| Last updated at source | 5 July 2026 |
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Connected in the knowledge graph
- mradermacher/simllama-1.1-instruct-beta-i1-GGUFModel · used to train
- mradermacher/simllama-1.1-instruct-GGUFModel · used to train
- mradermacher/simllama-1.1-instruct-i1-GGUFModel · used to train
- mradermacher/simllama-1.1-instruct-beta-GGUFModel · used to train
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