vram-16
Params
—
Context
—
Downloads 30d
410 K
Likes
0
Download history
daily snapshots · 56 days
▲ 19 K in the last 30 days (4.4%)
426 K403 K
Aug 23Sep 2Sep 12Sep 21
469 K403 K
Jul 28Aug 15Sep 3Sep 21
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 | 0.0 GB | 0.5 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
- LlamaModel
- Tensor type
- F32
- First seen on the Hub
- 2024-07-07
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any feature-extraction model