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#int8

@anemll: Effect of V-compression (int8) in KV-cache on prefill Qwen 3.8-27B, ANE M6 ANEMLL-FORGE. Compression (Quant-dequant) is…

X AI KOLs Following ↗ · 2026-10-02 Cached

ANEMLL-FORGE reports on applying int8 V-compression to the KV-cache of Qwen 3.8-27B during prefill on Apple's ANE M6, with compression and dequantization performed on ANE to yield memory I/O savings.

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#int8

Given how common RTX 3090 use is for LLMs, why don't we see more INT8 W8A8 models ?

Reddit r/LocalLLaMA ↗ · 2026-09-01

The post questions why INT8 W8A8 models are not more common among LLM users despite the RTX 3090's native INT8 support, based on hardware usage data from Hugging Face.

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#int8

ethanfel/Qwen3-VL-32B-Ultra-Heretic-H3-ComfyUI-INT8-ConvRot

Hugging Face Models Trending ↗ · 2026-08-03 Cached

A Hugging Face repository providing ComfyUI safetensors checkpoints of an uncensored Qwen3-VL-32B variant, with BF16 and INT8 ConvRot H3 conditioning encoders plus an optional generation tail.

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#int8

ethanfel/Qwen3-VL-32B-Ultra-Heretic-MiniMax-H3-ComfyUI-INT8-ConvRot

Hugging Face Models Trending ↗ · 2026-08-03 Cached

This repository provides INT8 ConvRot-quantized ComfyUI safetensors of Qwen3-VL-32B, including a MiniMax-H3 conditioning encoder with layers 0-49 and an optional prompt-enhancement tail for layers 50-63, designed for use in ComfyUI on 32GB GPUs.

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#int8

Apple M5 isn't making full use of its matmul cores yet

Reddit r/LocalLLaMA ↗ · 2026-07-23

Apple M5 silicon supports INT8 activations for matrix multiplication, but inference backends like MLX and Llama.cpp currently use 16-bit; custom w8a8 kernels achieve up to 1.4x speedup on Gemma4 prefill tasks.

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