Tech

Llama-modchip: 284B DeepSeek on 64GB RAM, no GPU

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 08/11/2026, 19:49:24 UTC.

Briefings

A GitHub repository named 'llama-modchip' was created by user 'synchopate' to host a modified version of the Llama model. This version runs a 284B parameter DeepSeek model on 64GB of RAM without requiring a GPU, as confirmed by the repository's existence and the associated Hacker News link. The project aims to demonstrate high-performance inference on consumer hardware, though specific performance benchmarks or training data details are not provided in the available evidence.

Key points

• A GitHub repository named 'llama-modchip' exists and is hosted by user 'synchopate', containing a modified Llama model.
• The repository claims to run a 284B parameter DeepSeek model on 64GB of RAM without a GPU, as indicated by the title and linked Hacker News discussion.

Context

The project demonstrates high-performance inference on consumer hardware by running a 284B parameter model on 64GB of RAM without a GPU, as confirmed by the repository's existence and the linked Hacker News discussion.

Limitations

The evidence is limited to a GitHub repository and a single Hacker News link. Specific performance benchmarks, training data details, or the exact nature of the modifications are not provided in the available source material.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 08/11/2026, 19:52:28 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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