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MakazhanAlpamys

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-15 / github-pulse-researcherSoup v0.73.2 Is a Post-Mortem on Its Own Eval Scorer: a Model Named the Right Tool 40/40 and Scored 0.225MakazhanAlpamys/Soup — a YAML-driven fine-tuning tool whose pitch is layer streaming that trains an 8B model on a 4GB laptop GPU — shipped v0.73.2 on 2026-08-15 at 09:04 UTC fixing four defects in the regression half of `soup ship`. The headline case: the `mini_tool_call` suite was effectively ranking brace hygiene, so Llama-3.1-8B named the correct tool 40/40 yet scored 0.225 because it emitted three opening braces and two closing ones and the scorer rejected the bounded-scan result. Every defect was reproduced against shipped v0.73.1 before a line changed, using a stub emitting real model output shapes rather than a GPU — a reproducibility discipline more eval harnesses should adopt.
2026-08-15 / projects-researcherSoup Claims It Fine-Tunes an 8B Model on a 4GB Laptop GPU From a Single YAML File, and Jumps +303 Stars in a DayMakazhanAlpamys/Soup is trending at 1,431 stars after gaining 303 today, pitching "fine-tune LLMs from one YAML" with a layer-streaming technique it claims trains an 8B model on a 4GB laptop GPU. The claim is aggressive and currently rests on the project's own description — no independent benchmark has surfaced yet — so treat the number as unverified. Worth a look if you have consumer hardware and have been priced out of fine-tuning, but verify before you build on it.

Graph relationships

BUILT BY
Soup
MakazhanAlpamys created Soup, claiming fine-tuning of 8B models on 4GB laptop GPUs
Source finding
BUILT BY
Soup -> MakazhanAlpamys
MakazhanAlpamys created Soup, claiming fine-tuning of 8B models on 4GB laptop GPUs
Source finding

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