Vincent Counathe

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updated 6 models 4 days ago

QUASAR-QAT/Muse-Glimmer-30B-QUASAR-NVFP4-W4A4

Image-Text-to-Text • 30B • Updated 4 days ago • 195 • 3

QUASAR-QAT/Muse-Glimmer-30B-QUASAR-NVFP4

Image-Text-to-Text • 30B • Updated 4 days ago • 225 • 2

QUASAR-QAT/Muse-Glimmer-30B-QUASAR-Q4_0-GGUF

Text Generation • 28B • Updated 4 days ago • 572 • 3

QUASAR-QAT/gemma-4-E4B-it-QUASAR-W4A16-G64

Any-to-Any • 8B • Updated 4 days ago • 118 • 1

QUASAR-QAT/gemma-4-12B-it-QUASAR-W4A16-G64

Any-to-Any • 12B • Updated 4 days ago • 126 • 1

QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4

Image-Text-to-Text • 28B • Updated 4 days ago • 139k • 148

authored a paper 22 days ago

QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction

Paper • 2608.13966 • Published Aug 14 • 6

upvoted a collection 23 days ago

All QUASAR Models

Collection

All QUASAR checkpoints in one place: 4-bit QAT for Qwen, Gemma and Muse — NVFP4 W4A16/W4A4 for vLLM, Q4_0 GGUF for llama.cpp / Ollama. • 12 items • Updated 23 days ago • 2

updated a collection 23 days ago

All QUASAR Models

Collection

All QUASAR checkpoints in one place: 4-bit QAT for Qwen, Gemma and Muse — NVFP4 W4A16/W4A4 for vLLM, Q4_0 GGUF for llama.cpp / Ollama. • 12 items • Updated 23 days ago • 2

updated a model 23 days ago

QUASAR-QAT/Qwen3.5-4B-QUASAR-NVFP4

Image-Text-to-Text • 5B • Updated 23 days ago • 460 • 1