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What AI says about ExLlama | Parse

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ExLlama

What AI says about ExLlama

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Data as of Oct 20, 2026Based on 16,901 AI responsesReviewed by Dimitry Apollonsky

How we measure

github.com

Hosted on GitHub

Mentioned in

<1%

across ExLlama’s markets · since Jul 5

The market map

ML Deployment & Inference Optimization Tools

Mentioned in

#BrandMentioned inAvg. position

=1LiteRTMentioned in 35%Avg. position 60.0
=1ONNX RuntimeMentioned in 31%Avg. position 11.4
=3FlowerMentioned in 27%Avg. position 2.3
=3PyTorchMentioned in 23%Avg. position 5.0
=3FedMLMentioned in 23%Avg. position 4.0
=6TensorFlow FederatedMentioned in 21%Avg. position 169.2
=6llama.cppMentioned in 20%Avg. position 4.8
=8ExecuTorchMentioned in 16%Avg. position 4.5
=8JAXMentioned in 15%Avg. position 7.0
=8Transformers.jsMentioned in 13%Avg. position 2.2
=13bitsandbytesMentioned in 12%Avg. position 5.3
=13NVFlareMentioned in 11%Avg. position 62.5
=13NVIDIA TensorRTMentioned in 11%Avg. position 6.0
=13Core MLMentioned in 11%Avg. position 7.3

Where AI mentions ExLlama

Each engine’s share of its own answers across ExLlama’s markets · since Jul 5

ChatGPT Search0%
Google AI Mode

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Other brands in ML Deployment & Inference Optimization Tools

Rank

LiteRT#1
ONNX Runtime#1

See where AI mentions ExLlama

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See where AI mentions ExLlama

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Where ExLlama ranks in AI

ML Deployment & Inference Optimization Tools=88 · 1%in this market

LLM Fine-Tuning and Hosting Platforms=47 · 1%in this market

<1%

Flower

PyTorch#3

llama.cpp#6

Sources AI cites

github.com 0%Other sites 100%

50%
- Practice: Inference Optimization · 25% (opens in a new tab)
- GPTQ Model Format and Library Support · 25% (opens in a new tab)
25%
- LLM Serving Infrastructure - Arun Baby · 25% (opens in a new tab)
25%
- Guide to choosing quants and engines · 25% (opens in a new tab)

Questions and answers

QuestionMentioned in

I want to quantize my model to run faster and cheaper. What's the best model quantization library or toolkit?on this questionMentioned in 5%