shipwithmuse

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ZuckLM

A deliberately overengineered parody that 'gives you the Zuck', with a deterministic Oracle edition, a prompted Muse Glimmer edition and an MLX QLoRA fine-tune of Muse Glimmer 30B for Apple Silicon.

ZuckLM on github.com
brn715/zucklmREADME ↗
# ZuckLM

[![Zuck containment](https://github.com/brenden7158/zucklm/actions/workflows/ci.yml/badge.svg)](https://github.com/brenden7158/zucklm/actions/workflows/ci.yml)
[![Hugging Face model](https://img.shields.io/badge/Hugging%20Face-Collapse%20v2-FFD21E)](https://huggingface.co/brenden7158/ZuckLM-Muse-Glimmer-30B-MLX-LoRA)
[![Hugging Face dataset](https://img.shields.io/badge/Hugging%20Face-SFT%20v2-FFD21E)](https://huggingface.co/datasets/brenden7158/ZuckLM-Collapse-SFT-v2)
[![License](https://img.shields.io/badge/license-Apache--2.0-blue)](LICENSE)

![ZuckLM: Give Me the Zuck](assets/zucklm-banner.jpg)

![ZuckLM Collapse terminal demo](assets/zucklm-demo.gif)

> High-performance inference for Zuck-class workloads.

```console
$ zuck ask "Fix this race condition."
give me the zuck
```

ZuckLM is an unofficial parody project built around one rigorously specified
task: giving you the Zuck. It is deliberately overengineered, locally runnable,
and honest about which part is a model and which part is a very committed bit.

## Editions

| Edition | What it is | Status |
|---|---|---|
| **Oracle** | Zero-parameter deterministic runtime with exact rare anomalies | Implemented |
| **Prompted** | Muse Glimmer behind an Ollama system prompt | Evaluated |
| **Collapse** | An MLX-VLM QLoRA behavior-collapse adapter | Trained and evaluated |

Oracle is the reproducible joke. Prompted is the immediate 30B demo. Collapse
is the real lobotomy: a 105 MB reversible MLX adapter trained against a 30B
4-bit base.

## The standardized Zuck apparatus

- **ZuckLM Collapse:** completed rank-4 MLX-VLM QLoRA adapter on Hugging Face.
- **ZuckTrain:** deterministic multilingual SFT generator, pinned recipe,
  LoRA-only freeze guard, sanitized training log, loss CSV, and loss curve.
- **ZuckEval:** exact adversarial and subject-family-held-out corpora with raw
  per-prompt outputs, timings, hashes, memory, and tool-call counts.
- **ZuckBench:** sober cross-edition compliance, latency, memory, and Zuck/s
  reporting with non-comparable units kept separate.
- **ZuckLM Oracle:** zero-parameter anomaly scheduler, CLI, OpenAI-shaped API,
  Ollama-shaped API, persistent crash-safe counter, and formal schedule spec.
- **ZuckLM Prompted:** the immediate Ollama demo and a useful control condition
  for comparing prompt compliance with actual weight modification.

The trained artifact is a com

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