Akshit Saroha's picture

Akshit Saroha

maxxafits00

·

lg-maxxa

AI & ML interests

Ai models training.

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replied to mrs83's post 2 days ago

Hello HF community, I'm happy to share a project I've been working on that combines mlx-lm with Flower, to enable federated fine-tuning of SLMs (Small Language Models) on MacOS devices  GitHub Repo: https://github.com/ethicalabs-ai/BlossomTuneLLM-MLX By combining mlx-lm with a federated learning framework like Flower (https://flower.ai/), we can leverage the hardware people already own and reduce the reliance on expensive GPUs, enabling collaborative model training. This project is the MLX-native evolution of an earlier codebase for FlowerTune LLM: https://arxiv.org/abs/2506.02961 https://flower.ai/blog/2024-10-16-flowertune-llm-leaderboard https://github.com/ethicalabs-ai/BlossomTuneLLM How it works: Flower handles all the federated learning logic. A central server (superlink) coordinates the training rounds, client selection, and parameter aggregation. Each participant in the network runs a Flower client (supernode) on their Mac. In each round, the client: - Receives the global LoRA/DoRA adapter weights from the server. - Loads its local data partition. - It makes use of the mlx-lm programmatic API (mlx_lm.tuner.train) to perform LoRA/DoRA fine-tuning. - Sends only the updated adapter weights back to the server. The server only ever sees the aggregated model updates and private data never leaves the device. Flower made it easy to run a full simulation (with a centralized HF dataset, partitioned using flower-datasets) on a single machine or multiple machines, to test the whole process in action and experiment further. All you need is a single or multiple Mac machines with Apple Silicon 

replied to aipanait's post 2 days ago

I just created an account and bought PRO version and whe I try to run AI ART QR it is not working. Anyone has any ideea? error Unlogged user is runnning out of daily ZeroGPU quotas. Signup for free on https://huggingface.co/join or login on https://huggingface.co/login to get more ZeroGPU quota now.

replied to AdinaY's post 2 days ago

Ming-flash-omni 2.0 🚀 New open omni-MLLM released by Ant Group https://huggingface.co/inclusionAI/Ming-flash-omni-2.0 ✨ MIT license ✨ MoE - 100B/6B active ✨ Zero-shot voice cloning + controllable audio ✨ Fine-grained visual knowledge grounding

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