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How One Startup Cut Diffusion‑LLM Inference Costs by 45 % – No Calibration Needed
amrit
amrit
amrit
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Oct 12
How One Startup Cut Diffusion‑LLM Inference Costs by 45 % – No Calibration Needed
#
ai
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quantization
#
diffusionllm
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6 min read
Model Distillation & Quantization: Running 8B Parameter Models at a Fraction of Cloud Cost
Muhammad Tahir
Muhammad Tahir
Muhammad Tahir
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Oct 12
Model Distillation & Quantization: Running 8B Parameter Models at a Fraction of Cloud Cost
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modeldistillation
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quantization
#
vllm
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awq
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10 min read
From 1.3 TB to 66 GB: On-Disk Vector Search in OpenSearch
Jon Handler
Jon Handler
Jon Handler
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Oct 8
From 1.3 TB to 66 GB: On-Disk Vector Search in OpenSearch
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vectorsearch
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airetrieval
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opensearch
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quantization
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8 min read
Native Quantization: Let OpenSearch Service Compress Your Vectors
Jon Handler
Jon Handler
Jon Handler
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Oct 6
Native Quantization: Let OpenSearch Service Compress Your Vectors
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vectorsearch
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airetrieval
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opensearch
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quantization
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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
GINIGEN AI
GINIGEN AI
GINIGEN AI
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Oct 6
4-bit GGUF Quality for MoE Models: Why Only 3B of 180B Params Fire, and How to Prove Parity
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ai
#
llm
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quantization
#
edgeai
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7 min read
Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy
GINIGEN AI
GINIGEN AI
GINIGEN AI
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Oct 6
Running a 180B Model on a Laptop With No GPU: How 4-bit GGUF Keeps Full Accuracy
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ai
#
llm
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edgeai
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quantization
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6 min read
Qwen3.8-27B on one RTX 3090, and the setting its README says chat clients should leave at default
Reno Lu
Reno Lu
Reno Lu
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Oct 2
Qwen3.8-27B on one RTX 3090, and the setting its README says chat clients should leave at default
#
vllm
#
localllm
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speculativedecoding
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quantization
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4 min read
1.3 TB of RAM for 100M Vectors? Shrink Them Before They Hit OpenSearch
Jon Handler
Jon Handler
Jon Handler
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Oct 2
1.3 TB of RAM for 100M Vectors? Shrink Them Before They Hit OpenSearch
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vectorsearch
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airetrieval
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opensearch
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quantization
1
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8 min read
Hot Take: Deploy Small Language Models to the Edge
Nainik Mehta
Nainik Mehta
Nainik Mehta
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Sep 23
Hot Take: Deploy Small Language Models to the Edge
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edge
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machinelearning
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mlops
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quantization
1
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 comment
4 min read
What Model Quantization Actually Does: From Float16 to 4-Bit Weights
Syed Anzar
Syed Anzar
Syed Anzar
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Sep 18
What Model Quantization Actually Does: From Float16 to 4-Bit Weights
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ai
#
llm
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quantization
#
machinelearning
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3
 comments
6 min read
Testing the 9x Smaller Local LLM Claim on a GPU-less VPS
Qasim Parray
Qasim Parray
Qasim Parray
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Sep 30
Testing the 9x Smaller Local LLM Claim on a GPU-less VPS
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localllm
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quantization
#
selfhosting
#
gguf
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 comment
6 min read
A Small Transformer Trained in 1.5 Hours Beat Many LLMs on ARC
Anaz S. Aji
Anaz S. Aji
Anaz S. Aji
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Codecora Dev
Sep 2
A Small Transformer Trained in 1.5 Hours Beat Many LLMs on ARC
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machinelearning
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vectorsearch
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quantization
#
benchmark
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5 min read
A Better FP4 Gradient Quantizer That Training Couldn't Notice
Seth Wheeler
Seth Wheeler
Seth Wheeler
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Aug 25
A Better FP4 Gradient Quantizer That Training Couldn't Notice
#
llm
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measurement
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quantization
#
training
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7 min read
Why Does Your Local Model Crash at 32k Tokens?
Eryk Kubiak
Eryk Kubiak
Eryk Kubiak
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Sep 25
Why Does Your Local Model Crash at 32k Tokens?
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llm
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gpu
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quantization
#
machinelearning
1
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2
 comments
12 min read
Error Feedback, Gradient Compression, and Why Adam Breaks It
Seth Wheeler
Seth Wheeler
Seth Wheeler
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Aug 21
Error Feedback, Gradient Compression, and Why Adam Breaks It
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llm
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measurement
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quantization
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training
5
 reactions
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1
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8 min read
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