---
language:
- en
- vi
license: other
library_name: gguf
tags:
- acne
- dermatology
- skincare
- gguf
- research
- quantization
- qwen3.5
pipeline_tag: text-generation
base_model:
- Qwen/Qwen3.5-0.8B
---

# Acnoryx AI Research Bundle

## Overview

- Base model: Qwen/Qwen3.5-0.8B
- Model size: 0.8b
- Research quantizations: Q3_K_M, IQ3_M, Q2_K, IQ2_M, IQ2_XS, IQ2_XXS, IQ1_M, IQ1_S
- Purpose: evaluate quality vs. size trade-offs below the production threshold

## Notes

- IQ1/IQ2 formats require an importance matrix (imatrix).
- These files are more experimental than the release bundle.
- Production-facing use should prefer the release bundle.
- If prompting in Vietnamese, write with full accents for best consistency.

## Evaluation Snapshot

Research GGUFs were continued from the existing results and merged with the latest rerun on the same curated 58-question bilingual benchmark.

| Quant | Think | No-Think | Avg | Status |
|---|---:|---:|---:|---|
| Q3_K_M | 74.1% | 72.4% | 73.2% | Best current research quant |
| IQ3_M | 60.3% | 60.3% | 60.3% | Heavy quality loss |
| IQ2_M | 20.7% | 19.0% | 19.8% | Below usable threshold |
| IQ2_XS | 5.2% | 3.4% | 4.3% | Triggered early-stop for lower bits |

## Research Guidance

- Public research recommendation: **Q3_K_M** only
- **IQ3_M** is still uploadable for experiments, but quality is clearly degraded
- The rerun auto-stopped below **IQ2_XS** because average pass rate fell under 50%, so lower-bit quants should be considered archival artifacts rather than viable deployments
- For any user-facing scenario, prefer the release bundle instead of this research branch

For cross-family ranking and release-vs-research comparison, see `results/COMPARISON.md` in the workspace.