HN · GitHub Signals

OPEN SOURCE, IN FOCUS

xolotl

indras-mirror/xolotl

Xolotl (formerly Strata-DSV4.1): DeepSeek-V4.1-Flash, all 552B, on one gaming PC (RTX 4090 + 90 GB RAM) at ~27 tok/s, plus GLM-5.3-Flash, Qwen3.8-Flash-Next and Qwen3.8-27B. A heavily extended fork of Strata: MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic API.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

sergqwer

strata-nvfp4

Strata fork: Qwen3.8-Flash-Next 125B MoE in ModelOpt NVFP4 on one RTX 20/30/40/50 card (12 GB+, measured on an RTX 5090) + 64 GB of RAM or more. W4A8 prompt path, AVX-512 CPU experts, a low-RAM tier, pictures on the CPU, Cyrillic MTP drafts. Windows / CUDA 13.

Take a look →
niko1221

strata

Qwen3.8-Flash-Next (125B MoE) on a 12-24 GB NVIDIA GPU + 64 GB RAM: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

Take a look →
sybil-solutions

glm-flash-lite

GLM-5.3-Flash EXL3 on one 24 GB RTX 3090 + DDR4: elastic GPU expert cache, zero-copy experts, AVX2 CPU tier, OpenAI API

Take a look →