vntl-llama3-8b-v2-gguf
This is a LLaMA 3 Youko qlora fine-tune, created using a new version of the VNTL dataset. The purpose of this fine-tune is to improve performance of LLMs at translating Japanese visual novels to English.
Params
—
Context
—
Downloads 30d
774 K
Likes
16
Download history
daily snapshots · 10 days782 K757 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 |
|---|---|---|---|---|
| vntl-llama3-8b-v2-hf-q5_k_m.gguf | Q5_K_M | 5.7 GB | 6.8 GB | ✅ Runs comfortably |
| vntl-llama3-8b-v2-hf-q8_0.gguf | Q8_0 | 8.5 GB | 9.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- llama3
- First seen on the Hub
- 2025-01-02
- Training datasets
- lmg-anon/VNTL-v5-1k
- 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.