0xBakeer

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Stars and mentions · Last 30 days, Oct 5 – Nov 3

GitHub stars1
Mentions25
01234Oct 5Oct 19Nov 3
UTC days · repositories 0xBakeer owns1 repository

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0xBakeer’s repositories ranked by new stars, as on trending.

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Repositories outside 0xBakeer’s account where 0xBakeer opened or reviewed pull requests in the past 365 days.

Who noticed 0xBakeer

Everyone who starred or forked 0xBakeer’s repositories since the archive began in 2011.

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Mentions

26posts
Nov 41 post
  1. Engine only and chat mode, explained in the README: 0xBakeer/TandemLLM Release notes: github.com/0xBakeer/TandemLLM/blob/main/CHANGELOG…

    4 likes · 26 views
  2. I am using this one 👇 on @TandemLLM Engine 0xBakeer/TandemLLM t.co

    9 likes · 482 views
  3. Qwen3.8 flash next on a single dgx spark 🔥 55k prompt, 133 tok/s peak 🤯 using TandemLLM Get it for free here 0xBakeer/TandemLLM t.co

    31 likes · 995 views
  4. six models, same 8 requests, one dgx spark every model card in @TandemLLM 0.15.0 github.com/0xBakeer/TandemLLM/releases/tag/v0.15.0 now has the same speed row, so i finally have one test for all of them. same prompts, 512 tokens each, temperature 1.0, thinking off, 3 rounds. total tok/s counted from the send, first tokens included. speed, one request:
lfm2.5-24b-a2b 122.8
flint 108.3
flash-next 44.1
qwen3.8-27b 35.3
bolt 35.2
ornith-1.5-122b 34.5 speed, 8 at once:
lfm2.5-24b-a2b 238.6
flint 215.9
qwen3.8-27b 146.3
flash-next 108.2
bolt 92.2
ornith-1.5-122b 85.5 surprise: the 27b grows 4.1x from 1 to 8 requests. every other model stays between 1.9x and 2.6x. one of the slowest alone ends up third. thanks @liquidai, nvidia, qwen and @ornith_ for the models and turboderp for the flash-next pack 🙏

    11 likes · 437 views
  5. Very fast model to run on one dgx spark for daily chats up to 300 tok/s on 0xBakeer/TandemLLM

    10 likes · 4 reposts · 423 views

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