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Topics: instruction-tuning

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3 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: instruction-tuning
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1.hiyouga / LlamaFactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

fine-tuning
llama
llm
peft
transformers
rlhf
+14 more

Python APACHE-2.076K total9.3K forks

+5,453 stars

from 70,371 · score 8.60

2.haotian-liu / LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

gpt-4
chatbot
chatgpt
llama
multimodal
llava
+7 more

Python APACHE-2.025K total2.8K forks

+495 stars

from 24,585 · score 6.21

3.RUCAIBox / LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

chain-of-thought
chatgpt
in-context-learning
instruction-tuning
large-language-models
llm
+5 more

Python No license12K total928 forks

+155 stars

from 12,074 · score 5.05

Order: Attention Score

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The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it; see Tags.

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