myeongcheol/decision-lfm2.5-1.2b
other model by myeongcheol
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Non-generative decision model built from LiquidAI/LFM2.5-1.2B-Instruct: the autoregressive LM head is discarded and replaced with a scalar decision head, then LoRA fine-tuned with the Open-Jev recipe so a single forward pass scores candidates — typed probabilities (Choice / Noul / Score) without any token generation. This repo ships the LoRA adapter + decision head + temperature for two runs (pilot1 2.4K rows, scale1 48K rows) — it is not a merged…
Read the full model card ↗ · Preview checked 2026-10-30T03:12:25.423Z
Inside the original model card — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
myeongcheol/decision-lfm2.5-1.2b is a other model repository published by myeongcheol on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- other
- Library
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 1
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-13T06:20:17.000Z
- Last modified
- 2026-10-13T06:20:40.000Z
Compatibility and lineage
Reported languages: en
Reported base models: LiquidAI/LFM2.5-1.2B-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-13T06:41:58.956Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.