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rAIfle

AI & ML interests

There are three instances of the letter R in the word strawberry.

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liked a dataset 4 days ago

gghfez/QwQ-LongCoT-130K-cleaned

new activity 10 days ago

rAIfle/SorcererLM-8x22b-bf16:I trained creative writing control-vectors for this model

new activity 10 days ago

rAIfle/SorcererLM-8x22b-bf16:no tokenizer.json

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rAIfle's activity

liked a dataset 4 days ago

gghfez/QwQ-LongCoT-130K-cleaned

Viewer • Updated 10 days ago • 125k • 155 • 4

New activity in rAIfle/SorcererLM-8x22b-bf16 10 days ago

I trained creative writing control-vectors for this model

#3 opened 18 days ago by

gghfez

no tokenizer.json

#2 opened about 1 month ago by

Eruuu

reacted to InferenceIllusionist's post with ❤️ 14 days ago

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1788

Howdy folks, your friendly neighborhood fine-tuner I^2 here coming out of stealth with a thrilling model release announcement for you all.

🎵 Introducing MilkDropLM-v0.3: An LLM for Generating MilkDrop Presets
InferenceIllusionist/MilkDropLM-7b-v0.3

A weekend project that combines two of my favorite things - LLMs and music visualization. MilkDropLM is an experimental model trained to generate MilkDrop preset scripts, aiming to expand the creative possibilities in the visualization space. If you're familiar with WinAmp, MilkDrop was one of the many spiritual successors that spun out of its visualization features.

-Model Details-

Early alpha release (v0.3)
- Trained to generate MilkDrop preset syntax
- Based on qwen-2.5-coder-7b due to its math and programming ability
- Fine-tuned on 10k+ cream of the crop presets, hand-curated by a MilkDrop vet (shout out @superwatermelon !)
- Apache 2.0 licensed

The training process was fascinating - a lot of broader ML questions about this space that you can read all about on the model card.

This is still an early alpha so any feedback is appreciated but I'm excited to share the results with you all.

Feel free to experiment, contribute, or just grab some presets for your next visualization session. PRs and feedback always welcome!
Demo notebook and training details in the repo.

PS: A HUGE thank you to my followers old and new - your support does not go unnoticed. It's my absolute honor to share these experiments with you all!