ncls-p/Qwen2.5-3B-blog-key-points

summarization model by ncls-p

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This model is fine-tuned from Qwen/Qwen2.5-3B-Instruct on the ncls-p/blog-key-points. It specializes in extracting key points from blog articles and web content, providing concise bullet-point summaries that capture the essential information. Qwen2.5-3B-blog-key-points is a 3B parameter model fine-tuned specifically for the task of extracting key points from articles. It can process a full article and generate a concise, bullet-point summary highlighting the most important information. This model is designed for extracting key points from articles. You can use it directly for: The model was fine-tuned on the blog-key-points dataset, which contains 200 article-summary pairs. Each pair consists of a full article and a bullet-point summary of…

ncls-p/Qwen2.5-3B-blog-key-points on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Qwen2.5-3B-blog-key-points
  2. Model Description
  3. Model Details
  4. Uses
  5. Direct Use
  6. Example Usage
  7. Training
  8. Training Procedure
  9. Evaluation
  10. Limitations and Biases
  11. How to Cite
  12. Dataset Creation

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Model overview

ncls-p/Qwen2.5-3B-blog-key-points is a summarization model repository published by ncls-p on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
summarization
Library
Not reported
Recent downloads (30 days)
332
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
cc-by-4.0
Access
Not gated by Hugging Face
Created
2025-02-25T11:04:57.000Z
Last modified
2025-04-28T07:59:45.000Z

Compatibility and lineage

Reported languages: zho, eng, fra, spa, por, deu, ita, rus, jpn, kor, vie, tha, ara

Reported base models: Qwen/Qwen2.5-3B-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.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-14T07:04:42.023Z. Daily imports are snapshots, not real-time monitoring.

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