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Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents23m◆AI and the rise of the universal entertainment app27m◆Substack adds an AI detector to help spot blogs written by no one44m◆Data centers expected to use 4x more electricity by 20352h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program3h◆Anthropic’s $1.5 billion book piracy settlement approved by judge3h◆US threatens sanctions against Chinese AI models over IP theft4h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display7h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation9h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else10h◆Capacity and Redundancy Trade-offs in Multi-Task Learning16h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation16h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making16h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection16h◆Supervised Reward Inference16h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization16h◆Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents23m◆AI and the rise of the universal entertainment app27m◆Substack adds an AI detector to help spot blogs written by no one44m◆Data centers expected to use 4x more electricity by 20352h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program3h◆Anthropic’s $1.5 billion book piracy settlement approved by judge3h◆US threatens sanctions against Chinese AI models over IP theft4h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display7h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation9h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else10h◆Capacity and Redundancy Trade-offs in Multi-Task Learning16h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation16h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making16h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection16h◆Supervised Reward Inference16h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization16h◆
News/model/ideogram_4_unconditional_lora

ideogram_4_unconditional_lora news

2 articles mentioning ideogram_4_unconditional_lora

arxivJun 15

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs

arXiv:2606.12280v2 Announce Type: replace Abstract: We study post-training quantization (PTQ) of Ideogram 4.0, a 9.3B flow-matching diffusion transformer (DiT) that realizes classifier-free guidance with two separate-weight copies of a single-stream backbone and is conditioned by a Qwen3-VL text enc

arxivJun 15

Realizing Native INT8 Compute for Diffusion Transformers on Consumer GPUs: A Fused INT8 GEMM Kernel for Ideogram 4.0

arXiv:2606.14598v1 Announce Type: new Abstract: Post-training INT8 (W8A8) quantization of diffusion transformers is widely deployed as a speed optimization, yet on consumer Ampere GPUs it is frequently slower than the FP8 and NF4 alternatives it is meant to beat. We trace this to a software artifact

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