llama-modchip
Run 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
Run advanced AI models on your computer without needing a graphics card.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeRun 284B DeepSeek-V4-Flash (<59GiB RAM: 41.1 cold pp, 9.1 N=1 tg, up to 25.3 spec tok/s) & 30B MoEs (22.4 N=1 / 111.6 spec tok/s) on 64GB CPU (0 GPUs).
llama-modchip has 1.2k stars on GitHub. It has been forked 108 times. llama-modchip is written mainly in Python. It has been in active development since 2026. llama-modchip is available under the Apache-2.0 license. Its main topics are ai-agents, apple-silicon, avx512, claude-code.
What is llama-modchip?
Run 284B DeepSeek-V4-Flash (
Is llama-modchip open source?
llama-modchip is an open-source project. It is released under the Apache-2.0 license.
Is llama-modchip free?
Yes. llama-modchip is free and open source — you can use, modify and self-host it.
What license does llama-modchip use?
llama-modchip is available under the Apache-2.0 license.
What language is llama-modchip written in?
llama-modchip is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/synchopate-llama-modchip.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.