Sign inGet started
Dataset · Hugging Face

Ringo42069/jake-glm-companion

Jake GLM Coding Companion Curated SFT dataset distilled from ~2,000 real Claude Code coding-agent exchanges, targeting two competencies for LoRA fine-tuning of a GLM model: First-principles reasoning (track_fp) — trace-back, derive-don't-assert, faithful reporting. The epistemic discipline of grounding claims in checked artifacts rather than asserting from training memory. Tool knowledge & selection (track_tools) — reasoning about which tool / agent is the right one for a job… See the full description on the dataset page: https://huggingface.co/datasets/Ringo42069/jake-glm-companion.

Author / organizationRingo42069
Downloads132 (as reported by Hugging Face)
Likes0
Created3 July 2026
Last updated at source3 July 2026
claudedistillationglmsftlora
Embed this entry
<iframe src="https://silytics.si/embed/item/702d7df7-db7d-4feb-b0ed-4baf26765434" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

132 now (-11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.