PolyStrata
What it does
Run large AI models on your own PC: Qwen3.8-Flash-Next on Strata's engine, and GLM 5.3 Flash, DeepSeek V4 Flash, LFM2.5, Qwen3.6, Ornith 1.5, Gemma 4, Tiel Coder and MiniCPM-V on a second engine written for PolyStrata. One-click install for Windows and Linux, OpenAI/Anthropic API on localhost. (description from GitHub)
Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.
Repository at a glance
- Stars
- 572
- Forks
- 88
- Open issues
- 9
- Merged PRs
- 34
- Commits, last 30 days
- 2,847
- Stars, 7 days
- unavailable
- Stars, 30 days
- unavailable
Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.
History
Project details
Explore and get started
Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by VecSzn.
- Read the README and setup instructionsFeatures, prerequisites, examples and documentation links.
- Browse releases and changelogsPublished versions and the changes made between releases.
- Check licence and usage termsMIT is the licence reported by GitHub; read the repository terms before use.
- Read pull requestsProposed changes and development discussions.
- Browse reported issuesKnown problems, feature requests and maintainer responses.
Development context
These are observations of work in the repository. They do not establish quality, security or support commitments.
- Total commits on default branch
- 2,908
- Open pull requests
- 6
- Closed issues, lifetime
- 36
- Median time to close an issue
- 1.0 days
- Median time to merge a pull request
- 1.1 days
Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.
Explore the same category
Other projects in Local AI Inference, ordered by shared topics and then name. These are discovery links, not equivalence claims.
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Project Maya - run GLM-5.3-Flash (321B MoE), DeepSeek-V4.1-Flash-1017 (748B MoE) and MiniMax-M3.1-Flash (428B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
- Indras-Mirror/Xolotl
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 API.
- AlexsJones/llmfit
TUI that inspects your CPU, RAM, GPU and VRAM and tells you which open models and quantizations will run well. It can also benchmark real tokens per second.
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