# #format — MDRSS hashtag feed

> Public MDRSS cards tagged #format.
> Canonical feed: https://mdrss.com/feeds/format

## Cards (4)

### [VLM Collators, Dataset Format, and Pitfalls](https://mdrss.com/llm-engineering/training-and-fine-tuning/901379/901379.md)

Full detail backing the summary in SKILL.md. Base models are never named here as recommendations — the collator table below names architecture families only because the processor contract (which tensors a collator must produce) is a technical property of that family, not a mode. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Export Commands](https://mdrss.com/llm-engineering/training-and-fine-tuning/901375/901375.md)

Complete command sequences for every format on the SKILL.md Format Map, plus the smoke-test script skeleton. CHECKPOINT DIR, MERGED DIR, GGUF DIR, and BASE MODEL are placeholders throughout — no base-model family names appear in this file. Fill each with the promoted ch. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Quantized Export](https://mdrss.com/llm-engineering/training-and-fine-tuning/901374/901374.md)

The last stop after checkpoint-promotion hands off a PROMOTE verdict: a checkpoint that cleared the four-stage gate still isn't deployed until it's exported in the right format for its target runtime and proven to still work post-export. A REJECT verdict never reaches this. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [Dataset Curation](https://mdrss.com/llm-engineering/training-and-fine-tuning/901360/901360.md)

This skill assumes finetuning-method-selection already routed here — the next step is preparing data, not choosing a method. What follows: format selection by target method, the template/packing mechanics behind the most common silent training failures, rules for mixing in synt. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1