this post was submitted on 10 May 2025
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LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

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This fork introduces a Radio Station feature where AI generates continuous radio music. The process involves two key components:

LLM: Generates the lyrics for the songs. ACE: Composes the music for the generated lyrics.

Due to the limitations of slower PCs, the demo video includes noticeable gaps (approximately 4 minutes) between the generated songs.

If your computer struggles to stream songs continuously, increasing the buffer size will result in a longer initial delay but fewer gaps between songs (until the buffer is depleted again).

By default the app attempts to load the model file gemma-3-12b-it-abliterated.q4_k_m.gguf from the same directory. However, you can also use alternative LLMs. Note that the quality of generated lyrics will vary depending on the LLM's capabilities.

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[–] Eyekaytee@aussie.zone 2 points 1 month ago