alkinun's picture

alkinun

AtAndDev

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AI & ML interests

LLMs, Alignment, Merging, Unsloth, DPO, SFT, ORPO, SPIN..

Recent Activity

reacted to merve's post with 🤗 about 11 hours ago

So many open releases at Hugging Face past week 🤯 recapping all here ⤵️ https://huggingface.co/collections/merve/march-21-releases-67dbe10e185f199e656140ae 👀 Multimodal > Mistral AI released a 24B vision LM, both base and instruction FT versions, sota 🔥 (OS) > with IBM we released SmolDocling, a sota 256M document parser with Apache 2.0 license (OS) > SpatialLM is a new vision LM that outputs 3D bounding boxes, comes with 0.5B (QwenVL based) and 1B (Llama based) variants > SkyWork released SkyWork-R1V-38B, new vision reasoning model (OS) 💬 LLMs > NVIDIA released new Nemotron models in 49B and 8B with their post-training dataset > LG released EXAONE, new reasoning models in 2.4B, 7.8B and 32B > Dataset: Glaive AI released a new reasoning dataset of 22M+ examples > Dataset: NVIDIA released new helpfulness dataset HelpSteer3 > Dataset: OpenManusRL is a new agent dataset based on ReAct framework (OS) > Open-R1 team released OlympicCoder, new competitive coder model in 7B and 32B > Dataset: GeneralThought-430K is a new reasoning dataset (OS) 🖼️ Image Generation/Computer Vision > Roboflow released RF-DETR, new real-time sota object detector (OS) 🔥 > YOLOE is a new real-time zero-shot object detector with text and visual prompts 🥹 > Stability AI released Stable Virtual Camera, a new novel view synthesis model > Tencent released Hunyuan3D-2mini, new small and fast 3D asset generation model > ByteDance released InfiniteYou, new realistic photo generation model > StarVector is a new 8B model that generates svg from images > FlexWorld is a new model that expands 3D views (OS) 🎤 Audio > Sesame released CSM-1B new speech generation model (OS) 🤖 Robotics > NVIDIA released GR00T, new robotics model for generalized reasoning and skills, along with the dataset *OS ones have Apache 2.0 or MIT license

reacted to Jaward's post with 🔥 about 12 hours ago

Implemented a custom multimodal GRPO trainer that scales for Small VLMs, supports cpu and gpu with vllm + flash attention. Using SmolVLM-256M-Instruct reference & reward model, wasn’t trained for long btw, still got some sparks of “thinking”:) Code: https://github.com/Jaykef/ai-algorithms/blob/main/grpo_multimodal_reasoner.ipynb

replied to MonsterMMORPG's post 3 days ago

Extending Wan 2.1 generated video - First 14b 720p text to video, then using last frame automatically to to generate a video with 14b 720p image to video - with RIFE 32 FPS 10 second 1280x720p video Our app has this fully automated : https://www.patreon.com/posts/123105403 Here how it works image : https://ibb.co/b582z3R6 Workflow is easy Use your favorite app to generate initial video. Get last frame Give last frame to image to video model - with matching model and resolution Generate And merge Then use MMAudio to add sound I made it automated in my Wan 2.1 app but can be made with ComfyUI easily as well . I can extend as many as times i want :) Here initial video Prompt: Close-up shot of a Roman gladiator, wearing a leather loincloth and armored gloves, standing confidently with a determined expression, holding a sword and shield. The lighting highlights his muscular build and the textures of his worn armor. Negative Prompt: Overexposure, static, blurred details, subtitles, paintings, pictures, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, mutilated, redundant fingers, poorly painted hands, poorly painted faces, deformed, disfigured, deformed limbs, fused fingers, cluttered background, three legs, a lot of people in the background, upside down Used Model: WAN 2.1 14B Text-to-Video Number of Inference Steps: 20 CFG Scale: 6 Sigma Shift: 10 Seed: 224866642 Number of Frames: 81 Denoising Strength: N/A LoRA Model: None TeaCache Enabled: True TeaCache L1 Threshold: 0.15 TeaCache Model ID: Wan2.1-T2V-14B Precision: BF16 Auto Crop: Enabled Final Resolution: 1280x720 Generation Duration: 770.66 seconds

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AtAndDev's activity

upvoted a paper 4 days ago

DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding

Paper • 2503.12797 • Published 7 days ago • 27

upvoted a collection 4 days ago

Gemma 2 Release

15 items • Updated 12 days ago • 217

upvoted a paper 5 days ago

Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation

Paper • 2503.13070 • Published 7 days ago • 9

upvoted a collection 8 days ago

Gemma 3

All versions of Google's new multimodal models in 1B, 4B, 12B, and 27B sizes. In GGUF, dynamic 4-bit and 16-bit formats. • 29 items • Updated 8 days ago • 42

upvoted a paper 9 days ago

Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment

Paper • 2502.04328 • Published Feb 6 • 30

upvoted 2 articles 9 days ago

Article

LeRobot goes to driving school: World’s largest open-source self-driving dataset

13 days ago

• 66

Article

Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM

12 days ago

• 341

upvoted a paper 10 days ago

Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models

Paper • 2503.09669 • Published 12 days ago • 34

upvoted a collection 12 days ago

Gemma 3 Release

9 items • Updated 10 days ago • 288

upvoted a collection about 2 months ago

DeepSeek-R1

8 items • Updated Jan 21 • 586

upvoted a collection 2 months ago

Qwen2.5-Math

Math-specific model series based on Qwen2.5 • 11 items • Updated Jan 14 • 79

upvoted a paper 2 months ago

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Paper • 2501.11425 • Published Jan 20 • 94

upvoted a collection 2 months ago

Qwen2.5

Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 46 items • Updated 26 days ago • 568

upvoted an article 2 months ago

Article

Welcome Gemma 2 - Google's new open LLM

Jun 27, 2024

• 129

upvoted a paper 2 months ago

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16 • 47