Check out the model weights and inference code base here:
@reach_vb
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OuteTTS v0.2: Compact Multilingual TTS with Voice Cloning
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Smol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 25 novembre 2024
> Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5… pic.twitter.com/N4c4UkfrhzSmol TTS keeps getting better! Introducing OuteTTS v0.2 – 500M parameters, multilingual with voice cloning! > Multilingual – English, Chinese, Korean & Japanese
> Cross platform inference w/ llama.cpp
> Zero-shot voice cloning
> Trained on 5 Billion audio tokens
> Qwen 2.5 -
Qwen 2 VL + FLUX: Advanced Open Source Image Generation
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Qwen 2 VL + FLUX > supports variation, img2img, inpainting, and controlnet-guided generation
> depth estimation and line detection for precise structural guidance
> aspect ratios up to 1536×1024 MIT licensed! -
Hugging Face SmolLM: Lightweight Language Model Released
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What are ya waiting for? https://
github.com/huggingface/sm
ollm
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SmolLM: Open Source Language Model Training and Deployment
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SmolLM – run, pre-train, fine-tune, evaluate SoTA fully open source LM Run with Transformers, MLX, Transformers.js, MLC Web-LLM, Ollama, Candle and more! Apache 2.0 licensed codebase – go explore now!
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Optimizing llama.cpp quantization performance gains
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good reminder: I need to check my llama.cpp quants I suspect I’m leaving perf on the table.
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Llava o1: Open-Source Vision Language Model with CoT
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Llava o1: https://
huggingface.co/Xkev/Llama-3.2
V-11B-cot
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Major Open Source LLM Releases: Pixtral, Tülu Compete With Claude
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Massive week for Open AI/ ML: @MistralAI Pixtral & Instruct Large – ~123B, 128K context, multilingual, json + function calling & open weights @allen_ai Tülu 70B & 8B – competive with claude 3.5 haiku, beats all major open models like llama 3.1 70B, qwen 2.5 and nemotron Llava
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Open Weights and Science Drive AI Use Cases Forward
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Many such use-cases being powered by open weights & science – so many low hanging fruits! https://t.co/yJMgujXcrG
— Vaibhav (VB) Srivastav (@reach_vb) 24 novembre 2024Many such use-cases being powered by open weights & science – so many low hanging fruits!