Lynn

Model · Image and text to text

Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2

Lynn

A model post-trained with several rounds of SFT and RLOO on top of Qwen3.8-27B-EfficientThink-SFT-SimPO-DFlash2, which is itself the official Qwen3.8-27B post-trained with SFT and SimPO. It is built to fix the original model's habit of failing to stop: it already has an answer, yet keeps re-deriving until it hits the 94K cap with no final answer. This repository provides five safetensors tiers, BF16, static FP8 Block128, NVFP4 W4A16, NVFP4 W4A4, and NVFP4 W4A4-W8A8 (mixed precision), all fully multimodal (text + image/video) with the official BF16 MTP bundled; all load in SGLang without patches, and the FP8 package is also smoke-tested on vLLM. It also has NInfer W4A4 / W4A4-W8A8…

Model · Image and text to text

Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-GGUF-NInfer

Lynn

A model post-trained with several rounds of SFT and RLOO on top of Qwen3.8-27B-EfficientThink-SFT-SimPO-DFlash2, which is itself the official Qwen3.8-27B post-trained with SFT and SimPO. It is built to fix the original model's habit of failing to stop: it already has an answer, yet keeps re-deriving until it hits the 94K cap with no final answer. This repository is the standalone GGUF repository with eight GGUF packages under GGUF/: Q2 / Q3 / Q4 LynnStyle (built-in Q40 MTP head), the same three as -Q8MTP versions (built-in Q80 MTP head), Q6K, and Q80 (each with a built-in MTP head), plus the matching NInfer packages under GGUF-NInfer/ (vision built in). The raw BF16 vision-tower file…

Model · Image and text to text

Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-NVFP4-NInfer

Lynn

A model post-trained with several rounds of SFT and RLOO on top of Qwen3.8-27B-EfficientThink-SFT-SimPO-DFlash2, which is itself the official Qwen3.8-27B post-trained with SFT and SimPO. It is built to fix the original model's habit of failing to stop: it already has an answer, yet keeps re-deriving until it hits the 94K cap with no final answer. This repository provides the three NVFP4 tiers, NVFP4 W4A16 (NVFP4/W4A16/), NVFP4 W4A4 (NVFP4/W4A4/), and NVFP4 W4A4-W8A8 (NVFP4/W4A4-W8A8/, mixed precision)—all fully multimodal (text + image/video) with the official BF16 MTP bundled and their own DFlash2 draft (DFlash2-FP8/) inside each tier directory, loading in SGLang without patches—plus two…