HY-MT1.5-1.8B-GGUF
🤗 Hugging Face 🕹️ Demo 🤖 ModelScope
Params
1.8 B
Context
—
Downloads 30d
29 K
Likes
113
Download history
tracking started — chart appears after 7 days of snapshots (2 recorded)29 K downloads in the last 30 days
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 |
|---|---|---|---|---|
| HY-MT1.5-1.8B-Q4_K_M.gguf | Q4_K_M | 1.1 GB | 2.0 GB | ✅ Runs comfortably |
| HY-MT1.5-1.8B-Q6_K.gguf | Q6_K | 1.5 GB | 2.4 GB | ✅ Runs comfortably |
| HY-MT1.5-1.8B-Q8_0.gguf | Q8_0 | 1.9 GB | 2.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 1.8 B
- First seen on the Hub
- 2025-12-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-23
Compare with any translation model