Swift · MIT
carloslfu/slotstream
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
★ 652
Stars
55 forks · 3 open issues
+6.0/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
39.3
Momentum / 100
see the breakdown below
2mo ago
Created
last push 3d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 16.2 | +6.0/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.79× the monthly pace |
| Freshness | 15 | 15.0 | last push 3d ago; decays to zero at 180 days |
| Scale | 15 | 8.2 | 652 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 39.3 | sum of the above |
Detail
| Topics | apple-siliconclaude-codeinference-enginellmllm-inferencelocal-ailocal-llmmacosmetalmixture-of-expertsmlxmoeollamaon-device-aiopenai-apiqwenqwen3swift |
| Matched on | LLM & Inference (llm, llm-inference) |
| Short window | +42 stars over 7 days = 6.0/day |
| Long window | +197 stars over 26 days = 7.6/day |
| Lifetime average | 9.42 stars/day over 69 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |