Qwen3.8-27B-GGUF
> [!IMPORTANT] > This model is automatically converted using https://github.com/ggml-org/convert
Params
27.0 B
Context
—
Downloads 30d
1.2 M
Likes
90
Download history
daily snapshots · 21 days1.5 M909 K
Sep 1Sep 8Sep 15Sep 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 |
|---|---|---|---|---|
| mtp-Qwen3.8-27B-Q4_0.gguf | Q4_0 | 1.7 GB | 6.4 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Q4_K_M.gguf | Q4_K_M | 19.0 GB | 25.4 GB | ❌ Won’t fit |
| Qwen3.8-27B-Q8_0.gguf | Q8_0 | 28.6 GB | 36.0 GB | ❌ Won’t fit |
| Qwen3.8-27B-BF16.gguf | GGUF | 53.8 GB | 63.7 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 27.0 B
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-14
- Base model
- Qwen3.8-27B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-01
Compare with any image-text-to-text model