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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.

Why this job: topics: local-llm, llm-inference, gguf, quantization

Xolotl - frontier MoE models on one gaming PC

What it does

Everything else, with PR numbers and who did it: docs/xolotl/CHANGELOG.md.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit yesterday
Stars
498
+44 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
C++
45% of the code

Is it looked after?

Contributors
5
Last 90 days
Issues
64% closed
16 still open
Pull requests
72 merged
0 waiting
Releases
None
Never published

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More: languages, topics and project record

Languages

  • C++ 45%
  • Python 29%
  • Cuda 10%
  • JavaScript 7%

Topics

  • cuda
  • deepseek
  • deepseek-v4
  • gguf
  • glm
  • llm-inference
  • local-llm
  • mixture-of-experts
  • moe
  • offloading
  • qwen
  • rtx-4090

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits6,700
  • Forks62
  • Watching1
  • Stars in 28 days+483
  • CreatedOct 6, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 10, 2026

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