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llm-compressor for vLLM: The FP8/AWQ Deployment Tradeoff

llm-compressor for vLLM: The FP8/AWQ Deployment Tradeoff

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9 min read
2비트라는 이름의 GGUF가 3비트 이름의 파일보다 컸습니다: 공개 Darwin-180B 양자화 파일 6개를 헤더까지 열어 보니

2비트라는 이름의 GGUF가 3비트 이름의 파일보다 컸습니다: 공개 Darwin-180B 양자화 파일 6개를 헤더까지 열어 보니

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4 min read
One Omni Model, Two GGUF Files: What LFM3-Omni-2B Really Costs in RAM, from the Tensor Headers Up

One Omni Model, Two GGUF Files: What LFM3-Omni-2B Really Costs in RAM, from the Tensor Headers Up

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12 min read
Quantization, Explained: From FP32 to INT4, and What Each Precision Costs You

Quantization, Explained: From FP32 to INT4, and What Each Precision Costs You

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11 min read
We tried to build a 0.1-bit model. It worked on one task and failed on another.

We tried to build a 0.1-bit model. It worked on one task and failed on another.

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13 min read
A 763B MoE at "2 Bits": Where the Bytes Really Go in the GSQ-RCO GGUFs, and Why 100% Recovery Sits Inside the Noise

A 763B MoE at "2 Bits": Where the Bytes Really Go in the GSQ-RCO GGUFs, and Why 100% Recovery Sits Inside the Noise

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15 min read
FP8 Cut Our TPOT by 25%. At High Concurrency, It Also Changed the Answers.

FP8 Cut Our TPOT by 25%. At High Concurrency, It Also Changed the Answers.

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3 min read
Why T Quant is the Secret Weapon for Mobile AI in 2026

Why T Quant is the Secret Weapon for Mobile AI in 2026

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6 min read
LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

LFM2.5-24B-A2B on Your Own Hardware: The RAM, KV Cache and Bandwidth Budget

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11 min read
How One Startup Cut Diffusion‑LLM Inference Costs by 45 % – No Calibration Needed

How One Startup Cut Diffusion‑LLM Inference Costs by 45 % – No Calibration Needed

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6 min read
Model Distillation & Quantization: Running 8B Parameter Models at a Fraction of Cloud Cost

Model Distillation & Quantization: Running 8B Parameter Models at a Fraction of Cloud Cost

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10 min read
Four GPUs, One Quantization Ladder: Gemma 4 E2B From a 4 GB Laptop to an NVIDIA L4

Four GPUs, One Quantization Ladder: Gemma 4 E2B From a 4 GB Laptop to an NVIDIA L4

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11 min read
From 1.3 TB to 66 GB: On-Disk Vector Search in OpenSearch

From 1.3 TB to 66 GB: On-Disk Vector Search in OpenSearch

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8 min read
Native Quantization: Let OpenSearch Service Compress Your Vectors

Native Quantization: Let OpenSearch Service Compress Your Vectors

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6 min read
4-bit GGUF Quality for MoE Models: Why Only 3B of 180B Params Fire, and How to Prove Parity

4-bit GGUF Quality for MoE Models: Why Only 3B of 180B Params Fire, and How to Prove Parity

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7 min read
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