# Indras-Mirror/Xolotl

<https://repo.masters-masters.com/en/repos/Indras-Mirror/Xolotl>

[Home](https://repo.masters-masters.com/en) › [Indras-Mirror](https://repo.masters-masters.com/en/owners/Indras-Mirror) › [Xolotl](https://repo.masters-masters.com/en/repos/Indras-Mirror/Xolotl)

Indras-Mirror/Xolotl has 454 stars on GitHub. Its RepoMasters card: Alpha tier. Xolotl (formerly Strata-DSV4.1): run DeepSeek-V4.1-Flash, all 552B, as a local…

| Field | Value |
| --- | --- |
| Owner | [Indras-Mirror](https://repo.masters-masters.com/en/owners/Indras-Mirror) |
| Stars | 454 |
| Forks | 57 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | MIT |
| Created | 2026 |
| Topics | cuda, deepseek, deepseek-v4, gguf, glm, llm-inference, local-llm, mixture-of-experts, moe, offloading |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Indras-Mirror/Xolotl](https://github.com/Indras-Mirror/Xolotl) |

## Repository

Xolotl (formerly Strata-DSV4.1): run DeepSeek-V4.1-Flash, all 552B, as a local coding agent on one gaming PC (RTX 4090 + 90 GB RAM) at up to ~27 tok/s, 512K context, October 1017 builds included. Plus GLM-5.3-Flash and Qwen3.8. MoE experts tiered across VRAM, pinned RAM and NVMe; OpenAI + Anthropic…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.