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awesome-model-fusion

This GitHub repository summarizes most recent papers and resources related to the model fusion.

axolotl

axolotl customize

customllmfinetuninghandbook

an example to fine-tuning a Language Learning Model (LLM) from data preparation to deployment.

dpo

Robust recipes for to align language models with human and AI preferences

helm-extended-local

support for various name in http/local run; support for gptq/bnb/tensorparallel in local run

lm-evaluation-harness-fast

speedup for lm-evaluation-harness; support tensor-parallel inference and data-parallel inference; support gptq, bitsandbytes, peft and exllamav2.

luogu-lzy

https://www.luogu.com.cn/ problems solving

miracle

EMNLP2023-findings: MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control

openai-pool

call multiple openai agent in parallel; support openai api and vllm server

paper-reading-

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pythonnotes

python notes for myself

qwen-vl-dpo

tools-for-huggingfacetransformers

custom tools

tools-gradio

custom Widget using gradio

trl

Train transformer language models with reinforcement learning.

twin-merging

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs