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ridgerchu/matmulfreellm

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Implementation for MatMul-free LM.

7 mentions on Hacker News by 7 people: 3 stories, 4 comments · first 2024-06-09 · latest 2024-09-07

Mentions per year 7 mentions · busiest year 2024 (7)
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  1. Claims 90% memory reduction with OSS code for replication on standard GPUs, https://github.com/ridgerchu/matmulfreellm > ..avoid using matrix multiplication using two main techniques. The first is a method to force all the numbers within…
  2. Paper: https://arxiv.org/abs/2406.02528 -- always better than a press release. Code: https://github.com/ridgerchu/matmulfreellm --- Like others before them, the authors train LLMs using parameters consisting of ternary digits, or trits,…
  3. ▲ 3
    Implementation for MatMul-Free LM
    story by cpeterso · 2024-06-10 · 0 comments
  4. ▲ 4
    MatMul-Free LM – architecture that eliminates need for Matrix Multiplication Ops
    story by reimertz · 2024-06-10 · 1 comment
  5. ▲ 2
    MatMul-Free LM
    story by beefman · 2024-06-09 · 0 comments
  6. …new paper seems to be the implementation of optimized and fused kernels using triton, as seen here: https://github.com/ridgerchu/matmulfreellm/blob/master/mmfre... This is quite useful, as this should make training this type of LLMs much…
    comment by cpldcpu · 2024-06-09 · in Scalable MatMul-Free Language Modeling
  7. the github link in the paper: https://github.com/ridgerchu/matmulfreellm it is super easy to try it out, the 2.7B, 1.3B, 0.37B models are on huggingface, and the generate.py example just works if you have triton 2.2 installed
    comment by throwaway71271 · 2024-06-09 · in Scalable MatMul-Free Language Modeling