OPEN LINK ↗
// 45d agoDISCUSSION
Colab User Hunts Qwen3-1.7B Reasoning Dataset
The post is a straightforward request for a high-quality Hugging Face dataset ID that can improve reasoning in Qwen3-1.7B using 16-bit LoRA on a Google Colab T4. The author explicitly says they do not want QLoRA, Unsloth, or the newer Qwen3.5-2B, so the thread is really about finding a small, efficient reasoning SFT dataset that fits tight hardware constraints.
// ANALYSIS
Hot take: this is less a model question than a data-quality question; on a T4, a compact, high-signal reasoning mix will matter more than chasing a bigger base model.
- –The ask is narrowly scoped to Qwen3-1.7B, so the likely win is a distilled CoT or math-heavy SFT dataset rather than a broad instruction mix.
- –For a concrete HF starting point, `LH-Tech-AI/Qwen-3-1.7B-with-Reasoning-x100`, `RefinedNeuro/Qwen3-Reasoning-Distill-Q-A-Dataset`, and `est-ai/math-reasoning-sft` are plausible candidates to inspect.
- –The post does not name a dataset itself; it is a community recommendation request rather than an announcement or release.
- –If the goal is improved reasoning rather than general chat behavior, small curated math/logic datasets are a better bet than generic instruction tuning at this scale.
// TAGS
qwen3finetuninglorareasoninghuggingfacecolabllm
DISCOVERED
45d ago
2026-04-27
PUBLISHED
45d ago
2026-04-27
RELEVANCE
8/ 10
AUTHOR
Ok-Type-7663