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project-maya

Here are 3 public repositories matching this topic...

Indras-Mirror / Xolotl

Xolotl: run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 110 GB RAM): ~33 tok/s on agent tasks, ~41 in fast mode, 512K context. Plus GLM-5.3-Flash, Qwen3.8 and LFM3-Omni. MoE experts tiered across VRAM, pinned RAM and NVMe, with Xolotl Direct NVMe->VRAM. OpenAI + Anthropic API.

cuda moe offloading glm strata quantization uncensored mixture-of-experts local-llm llm-inference qwen gguf deepseek abliteration rtx-4090 deepseek-v4 glm-5 deepseek-v4-1 project-maya

Updated Nov 7, 2026
C++

TacoTakumi / vram-lend

Allow inference engines to lend then reclaim VRAM resources. Lend to other models without losing your session.

strata inference-engine local-ai glm-5-3-flash deepseek-v4-1-flash project-maya

Updated Nov 7, 2026
Python

realsquall1980-art / maya-s1017-benchmarks

Community benchmark reports for local Maya-S / DeepSeek-V4.1-Flash-1017 deployments

benchmark deepseek project-maya maya-s

Updated Oct 31, 2026
HTML

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