MLC-LLM: GPT/Llama on consumer-class GPUs and phones (github.com)

Screenshot of github.com: MLC-LLM: GPT/Llama on consumer-class GPUs and phones

First screen, captured 3 years ago.

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Screenshot of github.com: Show HN: We made our own inference engine for Apple Silicon

Show HN: We made our own inference engine for Apple Silicon (github.com)

145 points by darkolorin 1 year ago | 42 comments

Screenshot of github.com: xLSTM code release by NX-AI

xLSTM code release by NX-AI (github.com)

119 points by badlogic 2 years ago | 28 comments

Screenshot of github.com: MGL: Common Lisp machine learning library

MGL: Common Lisp machine learning library (github.com)

201 points by oumua_don17 3 years ago | 6 comments

Screenshot of github.com: Show HN: Plexe – ML Models from a Prompt

Show HN: Plexe – ML Models from a Prompt (github.com)

112 points by vaibhavdubey97 1 year ago | 44 comments

Screenshot of github.com: MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model

MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model (github.com)

325 points by danboarder 1 year ago | 70 comments

GitHub repository for MiniMax-M1, an open-weight, large-scale hybrid-attention reasoning language model released under Apache-2.0 with docs and tech report.

minimax-m1 minimax llm reasoning-models

Screenshot of github.com: Show HN: Improve LLM Performance by Maximizing Iterative Development

Show HN: Improve LLM Performance by Maximizing Iterative Development (github.com)

86 points by asif_ 2 years ago | 17 comments

Looks similar

Show HN: We made our own inference engine for Apple Silicon(github.com)

xLSTM code release by NX-AI(github.com)

MGL: Common Lisp machine learning library(github.com)

Show HN: Plexe – ML Models from a Prompt(github.com)

MiniMax-M1 open-weight, large-scale hybrid-attention reasoning model(github.com)

Show HN: Improve LLM Performance by Maximizing Iterative Development(github.com)