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

(github.com)

15 points | by joshcsimmons 2 hours ago

5 comments

  • antirez 13 minutes ago
    To put this on perspective, consider that with 128GB of unified RAM it can run even fast: https://x.com/antirez/status/2119392658661749175 Like, coding-agent acceptably fast. See later in the reply for the prefill at ~300 t/s but can go even faster for larger prefills.
  • akie 43 minutes ago
    At which quantization? That's the only thing I want to know.

    EDIT: I think it's 2 bit? If so, would be curious to see the quality of the output. Not great, I think.

    • madduci 23 minutes ago
      Everything lower than 4/5 is really bad
      • smallerize 18 minutes ago
        Well it's bad compared to the original model, but is it bad compared to what else you could run in 64 GB?
        • serf 12 minutes ago
          probably; 32-64 is the range where local models get extraordinarily useful, and in my experience any sub-4 quants get ridiculously incoherent, which is why those models tend to try to 'wow' people with tok/s rather than benchmarks.

          haven't tried it yet though.

  • intoXbox 34 minutes ago
    This is quite an obnoxious Readme.md with AI slop. It wraps around llama.cpp but without seeing what platform assumptions it makes its unclear for other readers whether this is worth testing.
  • outfinity 36 minutes ago
    It is 2 bit? anybody tested this? is any good?