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Source channel @githubtrending · Post #15600 · Apr 4
#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm
Search: #cryptohodl
@easy_busy_eng · Post #388 · 12/05/2025, 04:41 PM
2013 GPU mining = turning $3 of electricity into $600+ per day” Back in 2013 a simple GPU rig could mine: 0.5–1 BTC per day 0.5 BTC today = ~$18,500 1 BTC today = ~$37,000 Mining was one of the highest ROI opportunities ever seen in the digital age. People who mined early didn’t just make money — They secured freedom long before the rest of the world woke up. #BitcoinMining#BTC#CryptoHODL#MiningHistory