yanun0323 / Whallm
DeepSeek-V4-Flash-0731 284B inference in ~25 GB of RAM / Qwen3.8-Next-Flash inference in ~15 GB of RAM on any M-series MacBook
Why this job: topics: apple-silicon, llm-inference, local-ai, on-device-ai
What it does
Whallm runs language models larger than your Mac’s memory on Apple Silicon. It keeps common weights in memory and reads experts from SSD as needed. Includes a chat interface and an OpenAI-compatible API for clients such as Codex.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 16 days ago
- Stars
- 152
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- Mac
- From the latest release
- Latest version
- v1.1.13
- Released 25 days ago
- Built with
- Python
- 68% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 7 merged
- 4 waiting
- Releases
- 17
- 17 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: download files, languages, topics, project record and preview image
Languages
- Python 68%
- Swift 21%
- Objective-C++ 6%
- Metal 4%
Topics
- apple-silicon
- deepseek-v4-flash
- llm
- llm-inference
- local-ai
- macos
- metal
- on-device-ai
- on-device-llm
- qwen
- ssd-streaming
- swift
Project record
- JobLocal LLMs
- StatusListed
- Commits254
- Forks18
- Watching3
- Stars in 28 days+30
- CreatedAug 7, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026