X (Twitter)

github.com

May 3, 2026

GitHub - noonghunna/club-3090: Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for 1× and 2× cards.

Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for ...

docs.sglang.io

August 17, 2026

Qwen3.8-27B - SGLang Documentation

Deploy Qwen3.8-27B with SGLang — dense hybrid GDN vision-language model with BF16/FP8/NVFP4 W4A4 checkpoints and in-checkpoint MTP, single-GPU on H200...

github.com

August 19, 2026

GitHub - julianmb/q38rocm: Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.

Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64. - julianmb/q38rocm

~/bookmarks

NVIDIA Nemotron-3-Super: How To Run Guide | Unsloth Documentation

NVIDIA Nemotron-3-Super: How To Run Guide | Unsloth Documentation

~/bookmarks

NVIDIA Nemotron-3-Super: How To Run Guide | Unsloth Documentation

Discover More

GitHub - noonghunna/club-3090: Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for 1× and 2× cards.

Qwen3.8-27B - SGLang Documentation

GitHub - julianmb/q38rocm: Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.

Similar Content

NVIDIA Nemotron-3-Super: How To Run Guide | Unsloth Documentation

Discover More

GitHub - noonghunna/club-3090: Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for 1× and 2× cards.

Qwen3.8-27B - SGLang Documentation

GitHub - julianmb/q38rocm: Qwen 3.8 27B ROCmFP4 on AMD Strix Halo (Ryzen AI Max+ 395). Up to 36 tok/s via MTP Speculation, TurboQuant & Mesa RADV Wave64.