A Comprehensive Evaluation of Quantized Instruction-Tuned LLMs
LlamaCast18 Loka 2024

A Comprehensive Evaluation of Quantized Instruction-Tuned LLMs

📏 A Comprehensive Evaluation of Quantized Instruction-Tuned LLMs

This paper, titled "A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B," examines the performance of large language models (LLMs) after they have been compressed using various quantization methods. The authors assess the impact of these techniques on different task types and model sizes, including the very large 405B parameter Llama 3.1 model. They explore how different quantization methods, model sizes, and bit-widths affect performance, finding that larger quantized models often outperform smaller FP16 models and that certain methods, such as weight-only quantization, are particularly effective for larger models. The study also concludes that task difficulty does not significantly impact the accuracy degradation caused by quantization.

📎 Link to paper

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(49)

Marco-o1

Marco-o1

🤖 Marco-o1: Towards Open Reasoning Models for Open-Ended SolutionsThe Alibaba MarcoPolo team presents Marco-o1, a large reasoning model designed to excel in open-ended problem-solving. Building upon ...

23 Marras 202414min

Scaling Laws for Precision

Scaling Laws for Precision

⚖️ Scaling Laws for PrecisionThis research paper investigates the impact of precision in training and inference on the performance of large language models. The authors explore how precision affects t...

18 Marras 202418min

Test-Time Training

Test-Time Training

⌛️ The Surprising Effectiveness of Test-Time Training for Abstract ReasoningThis paper examines how test-time training (TTT) can enhance the abstract reasoning abilities of large language models (LLMs...

14 Marras 202414min

Qwen2.5-Coder

Qwen2.5-Coder

🔷 Qwen2.5-Coder Technical ReportThe report introduces the Qwen2.5-Coder series, which includes the Qwen2.5-Coder-1.5B and Qwen2.5-Coder-7B models. These models are specifically designed for coding ta...

12 Marras 202424min

Attacking Vision-Language Computer Agents via Pop-ups

Attacking Vision-Language Computer Agents via Pop-ups

😈 Attacking Vision-Language Computer Agents via Pop-upsThis research paper examines vulnerabilities in vision-language models (VLMs) that power autonomous agents performing computer tasks. The author...

9 Marras 202421min

Number Cookbook

Number Cookbook

📓 Number Cookbook: Number Understanding of Language Models and How to Improve ItThis research paper examines the numerical understanding and processing abilities (NUPA) of large language models (LLMs...

8 Marras 202416min

Jigsaw Puzzles

Jigsaw Puzzles

🧩 Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language ModelsThis research paper investigates the vulnerabilities of large language models (LLMs) to "jailbreak" attacks, where mali...

7 Marras 202416min

Multi-expert Prompting with LLMs

Multi-expert Prompting with LLMs

🤝 Multi-expert Prompting with LLMsThe research paper presents Multi-expert Prompting, a novel method for improving the reliability, safety, and usefulness of Large Language Models (LLMs). Multi-exper...

5 Marras 202412min

Suosittua kategoriassa Politiikka ja uutiset

uutiscast
aikalisa
politiikan-puskaradio
ootsa-kuullut-tasta-2
rss-ootsa-kuullut-tasta
otetaan-yhdet
rss-vaalirankkurit-podcast
rss-podme-livebox
rss-seksicast
tervo-halme
aihe
rss-raha-talous-ja-politiikka
rss-asiastudio
rikosmyytit
the-ulkopolitist
rss-vain-talouselamaa
rss-voi-venaja
rss-ulkopoditiikkaa
rss-50100-podcast
rss-diet-woke