T5-base-10K-summarization
This model is a fine-tuned version of Google's T5-Base model tailored for summarizing financial 10K report sections.
Params
220 M
Context
—
Downloads 30d
84 K
Likes
3
Download history
daily snapshots · 10 days92 K84 K
Jul 28Jul 31Aug 3Aug 6
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.9 GB | 1.5 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
- T5ForConditionalGeneration
- Parameters
- 220 M
- Tensor type
- F32
- Vocabulary
- 32,128
- First seen on the Hub
- 2024-04-17
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with
Sponsored · GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.