Project · October 2026
Katy
A quantization of Swift-1.5-Qwen3.8-27B for llama.cpp and the FLE engine. As with Rhea: this page states only what has been measured.
Specs
| Base model | Swift-1.5-Qwen3.8-27B (ukisai), derived from Qwen3.8-27B |
|---|---|
| Quant | IQ4_XS with imatrix (production), file 15.3 GB |
| Quality against BF16 | KL divergence vs BF16 (E, W, K): IQ4_XS 0.0645 / 0.0127 / 0.0160; top-1 92.5 / 95.9 / 95.0 %. ARC-Challenge 96.3 to 96.5 %, GSM8K 96.8 to 97.2 %. Source: model card on the Hub |
| Decode speed | 127 tok/s total on the mixed task set (DFlash2 draft head + ngram-mod ng8, ABAB, drift 0.5 %). About 80 tok/s on fixed tasks, 46.6 tok/s without speculation. Measured on an RTX PRO 4500 Blackwell (32 GB) |
| License | Swift Open License v1.0, derived work marked as such (NOTICE). Terms reviewed, publication approved (Max, 22 Oct 2026) |
| Files | One Hugging Face repo: sirfyyn/Katy-27B-GGUF, public. IQ2_S, IQ3_S and IQ4_XS with imatrix, plus the DFlash2 draft head as Q8_0 and the imatrix; checksums in SHA256SUMS |
More
- FLE – Fast Local Experts — the engine Rhea was measured with.
- FLE Studio — the app for loading and launching models.
- The technical report — the measurement method (paired brackets).