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#quantization - page 5 | AI Briefing

Command A Plus

·1·2026.05.21 00:00

Measuring Maximum Activation Values in Open LLMs

·2026.05.19 21:00

1.58-bit BitCPM4-CANN released

·2026.05.18 20:00

A Few Words on DS4

·2026.05.16 00:00

TurboQuant Accuracy and Performance Evaluation

·2026.05.15 05:00

cyankiwi improves AWQ quantization method

·2026.05.15 03:00

NVIDIA Releases Kimi NVFP4

·1·2026.05.14 21:00

Key Changes in PyTorch 2.12

·2026.05.14 09:00

Lessons Parameter Golf Left for AI-Assisted Research

·2026.05.13 06:00

GGUF Model Uploads Surge 2x

·2026.05.11 19:00

ExLlamaV3 Major Update

·2026.05.11 16:00

DeepSeek V4 Official Paper Released

·2026.05.09 17:00

Qwen3.6 MTP Layer Grafting and Inference Optimization

·2026.05.08 05:00

ParoQuant, 4-bit Quantization for Reasoning

·2026.05.07 11:00

vLLM fixes Qwen TurboQuant error

·2026.05.05 09:00

APEX MoE Quantized Models Expand to Over 30 Types

·2026.05.05 01:00

Qwen 35B MoE on an RTX 3090

·1·2026.05.04 07:00

Running Qwen3.6-35B on a 6GB VRAM Laptop

·1·2026.05.04 07:00

MiniMax M2.7 Performance and Power Comparison

·2026.05.02 18:00

Unsloth Fixes Mistral Medium 3.5 GGUF

·2026.05.02 16:00

KV Cache Quantization Performance Comparison

·2026.05.02 08:00

Qwen3.6-27B FP8 Released

·2026.05.02 06:00

Qwen3.6-27B UD-Q5_K_XL Benchmark

·2026.05.01 12:00

Gemma 4 26B NVFP4 Released

·2026.05.01 12:00

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