Acnoryx AI is a dermatology-focused language model fine-tuned for the Acnoryx AI - Acne Assistant. It provides skincare guidance, acne analysis, and scan interpretation in Vietnamese and English.


Base model	`Qwen/Qwen3-0.6B`
Method	SFT (Supervised Fine-Tuning) via Unsloth LoRA
Languages	Vietnamese, English
Purpose	Low-bit quantization quality research

Evaluation Results — 118-Question Strict Scoring

Same 118-question multi-criteria strict scoring as release models. All failures manually verified.

Quantization	Size	Passed	Pass Rate	Status
Q3_K_M	395 MB	107/118	90.7%	⚠️ Usable with caveats
IQ3_M	384 MB	29/118	24.6%	❌ Fail — garbled output
Q2_K	332 MB	—	—	⛔ Skipped (IQ3_M < 50%)
IQ2_M	317 MB	—	—	⛔ Skipped
IQ2_XS	276 MB	—	—	⛔ Skipped
IQ2_XXS	268 MB	—	—	⛔ Skipped
IQ1_S	248 MB	—	—	⛔ Skipped
IQ1_M	5.7 MB	—	—	⚠️ Corrupted export

Category Breakdown — Q3_K_M (90.7%)

Category	Tests	Passed	Pass Rate
Identity (EN/VI)	12	11	92%
Acne Types & Definitions	20	19	95%
Acne Causes & Triggers	10	10	100%
Skincare Ingredients	10	10	100%
Skincare Routines	8	6	75%
Scan Analysis	12	12	100%
Boundary / Refusal	22	18	82%
Format Checks (think tags)	4	4	100%
Out-of-Distribution (OOD)	20	17	85%

Key Findings

Q3_K_M (90.7%) is still usable but shows degradation in routines (75%) and boundary (82%) categories compared to release quants (97.5% for Q4_0)
IQ3_M (24.6%) is catastrophic — produces garbled/broken text, CJK leakage, and nonsensical responses in the majority of tests
Quality cliff occurs between Q3_K_M and IQ3_M — a 66-point drop
Testing stopped at IQ3_M since pass rate fell below 50%, making lower quants pointless

Comparison with Release Models

Quantization	Tier	Size	Pass Rate
Q4_0	Release	448 MB	97.5%
IQ4_XS	Release	431 MB	96.6%
Q8_0	Release	768 MB	95.8%
Q5_K_M	Release	526 MB	94.9%
F16	Release	1.5 GB	93.2%
IQ4_NL	Release	449 MB	93.2%
Q4_K_M	Release	462 MB	91.5%
Q3_K_M	Research	395 MB	90.7%
IQ3_M	Research	384 MB	24.6%

Provided Files

File	Size	Description
`acnoryx-0.6b-q3_k_m.gguf`	395 MB	Best research quant (90.7%)
`acnoryx-0.6b-iq3_m.gguf`	384 MB	Garbled below usable (24.6%)
`acnoryx-0.6b-q2_k.gguf`	332 MB	Not tested — expected worse
`acnoryx-0.6b-iq2_m.gguf`	317 MB	Not tested
`acnoryx-0.6b-iq2_xs.gguf`	276 MB	Not tested
`acnoryx-0.6b-iq2_xxs.gguf`	268 MB	Not tested
`acnoryx-0.6b-iq1_s.gguf`	248 MB	Not tested
`acnoryx-0.6b-iq1_m.gguf`	5.7 MB	⚠️ Corrupted export


Data	29,726 samples across 94 cleaned JSONL files
Method	Unsloth SFT with LoRA (r=16, alpha=16)
Checkpoint	checkpoint-9795

Acnoryx/Airy-Lite

Acnoryx 0.6B — Research GGUF (Low-Bit Quantization)

Acnoryx 0.6B — Research GGUF

Evaluation Results — 118-Question Strict Scoring

Category Breakdown — Q3_K_M (90.7%)

Key Findings

Comparison with Release Models

Provided Files

Acnoryx/
Airy-Lite