fine-tuning

[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning

PMetal: high-performance Apple Silicon framework for local LLM inference, LoRA/QLoRA fine-tuning, serving, quantization, and MLX/Metal acceleration.

FireAct: Toward Language Agent Fine-tuning

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Vehicle Detection Using Deep Learning and YOLO Algorithm

A fine-tuned model from Qwen2-1.5B-Instruct, capable of handling sensitive topics like violence, explicit content. / 从 Qwen2-1.5B-Instruct 微调，能处理各类敏感话题

A Repo to store the Google Colaboratory Notebooks that I have created and shared

Fine-tuning code for CLIP models

Zero-friction LLM fine-tuning skill for Claude Code, Gemini CLI & any ACP agent. Unsloth on NVIDIA · TRL+MPS/MLX on Apple Silicon. Automates env setup, LoRA training (SFT, DPO, GRPO, vision), post-hoc GRPO log diagnostics, evaluation, and export end-to-end. Part of the Gaslamp AI platform.

Train a Language Model with GRPO to create a schedule from a list of events and priorities

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset

The official codes for "Aurora: Activating chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning"

A fine-tuned model from Qwen2.5-1.5B-Instruct, capable of handling sensitive topics. / 从 Qwen2.5-1.5B-Instruct 微调，主要擅长处理色情话题

FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)

🤗 Official implementation for "CC-Pan: Channel-wise Compression based Diffusion for Efficient Pan-Sharpening" https://arxiv.org/abs/2602.04473

A survey on harmful fine-tuning attack for large language model (ACM CSUR)

🏭 AI agent platform with skills for protein engineering, the noob-friendly AI tutorial tool for life science professionals.

A collection of vision-language-action model post-training methods.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.