Vincent Counathe

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authored a paper 10 days ago

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

Paper • 2608.13966 • Published Aug 14 • 4

updated 3 models 10 days ago

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

Text Generation • 28B • Updated 10 days ago • 440 • 3

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

Image-Text-to-Text • 30B • Updated 10 days ago • 179 • 2

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

Image-Text-to-Text • 30B • Updated 10 days ago • 125 • 3

upvoted a collection 10 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 10 days ago • 1

updated a collection 10 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 10 days ago • 1

updated a model 10 days ago

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

Image-Text-to-Text • 5B • Updated 10 days ago • 389 • 1

updated a collection 10 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 10 days ago • 1