human-centered-summarization / summarization updated 2 years ago

financial-summarization-pegasus

This model was fine-tuned on a novel financial news dataset, which consists of 2K articles from Bloomberg, on topics such as stock, markets, currencies, rate and cryptocurrencies.

Params
570 M
Context
512
Downloads 30d
52 K
Likes
150
Licence: unknown Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 55 days
▲ 102 K in the last 30 days (66.1%)
159 K52 K
Jul 28Aug 15Sep 2Sep 20

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 2.3 GB 3.1 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture
PegasusForConditionalGeneration
Parameters
570 M
Tensor type
F32
Context length
512
Vocabulary
96,103
First seen on the Hub
2022-03-02
Training datasets
xsum
xsum (reported)
15.1414
Added to our catalog
2026-07-28
Compare with any summarization model