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#quantization - page 6 | AI Briefing

Mistral 3.5 MLX 4-bit Released

·2026.05.01 06:00

JSON Vector Search Package Released

·2026.05.01 02:00

IBM Granite 4.1 30B GGUF Quantization Released

·2026.04.30 07:00

oQ vs Q vs MXFP vs UD KLD Comparison

·2026.04.30 05:00

Valkyr with TurboQuant applied

·2026.04.30 04:00

llama.cpp NVFP4 Comparison

·2026.04.29 21:00

llama.cpp Adds Blackwell NVFP4 Support

·2026.04.29 17:00

Qwen 3.6 KV Cache Benchmark

·2026.04.29 02:00

Qwen 3.6 27B GGUF Comparison

·2026.04.28 21:00

2x 5060 Ti Qwen3.6 Benchmark

·1·2026.04.28 04:00

TurboQuant: An Explanation from First Principles

·2026.04.27 14:00

Qwen3.6-27B MLX 3-bit Released

·2026.04.27 12:00

New Inference Engine Hipfire Released for AMD GPUs

·2026.04.27 10:00

Qwen3.6 35B Heretic released

·2026.04.26 20:00

Q4_K_XL faster than Q4_K_M

·2026.04.26 18:00

Qwen3.6 larger quants are faster

·2026.04.25 06:00

MLX Q vs oQ Comparison

·2026.04.25 03:00

Nemotron-3 GGUF Released

·2026.04.24 17:00

22 tok/s on RTX 5060 Ti 16GB

·2026.04.24 09:00

Qwen3.6 64K real-world test

·2026.04.23 14:00

27B won

·2026.04.23 12:00

27B Optimization for the 3090

·2026.04.23 09:00

Qwen3.6-27B: Flagship-Level Coding Performance Achieved with a 27B Dense Model

·2026.04.23 09:00

Qwen3.6-27B Uncensored Release Published

·2026.04.23 03:00

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