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 09/11/2026, 02:19:24 UTC.

Briefings

A GitHub repository named 'llama-modchip' was created by user 'synchopate' to host a modified version of the Llama model. This version attempts to run a 284B parameter DeepSeek model on a 64GB RAM system without using a GPU, as indicated by the repository's title and the associated Hacker News discussion.

Key points

• The repository 'llama-modchip' is hosted on GitHub by user 'synchopate' and contains a modified Llama model intended for deployment on low-resource hardware.
• The specific configuration tested involves running a 284B parameter DeepSeek model on 64GB of RAM without GPU acceleration.

Context

This finding is significant for the field of large language model (LLM) deployment, as it presents a potential solution for running massive models on devices with limited computational power. The repository serves as a technical resource for developers interested in this specific optimization challenge.

Limitations

The evidence is limited to a single GitHub repository and a single Hacker News discussion thread. No specific dates, model versions, or hardware specifications are provided in the available source material.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 09/11/2026, 02:30:58 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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