Qwen2.5-1.5B-apeach
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Params
1.5 B
Context
131,072
Downloads 30d
251 K
Likes
6
Download history
daily snapshots · 55 days
▲ 42 K in the last 30 days (14.3%)
280 K251 K
Aug 22Sep 1Sep 11Sep 20
442 K251 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.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 6.2 GB | 7.5 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 6.2 GB | 11.0 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
- Qwen2ForSequenceClassification
- Parameters
- 1.5 B
- Tensor type
- F32
- Context length
- 131,072
- Vocabulary
- 151,936
- Layers / heads
- 28 / 12
- First seen on the Hub
- 2024-10-24
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-classification model