Linking pages
- Why Open Source AI Will Win - by Varun - Public Experiments https://varunshenoy.substack.com/p/why-open-source-ai-will-win 174 comments
- Hello Qwen2 | Qwen https://qwenlm.github.io/blog/qwen2/ 130 comments
- Fine Tuning Mistral 7B on Magic the Gathering Drafts https://generallyintelligent.substack.com/p/fine-tuning-mistral-7b-on-magic-the 100 comments
- How we got fine-tuning Mistral-7B to not suck: Helix Project Report, Feb 2024 https://helixml.substack.com/p/how-we-got-fine-tuning-mistral-7b 47 comments
- Qwen2.5: A Party of Foundation Models! | Qwen https://qwenlm.github.io/blog/qwen2.5/ 38 comments
- GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. https://github.com/mlabonne/llm-course 10 comments
- Introducing Qwen1.5 | Qwen https://qwenlm.github.io/blog/qwen1.5/ 3 comments
- Everything about Distributed Training and Efficient Finetuning | Sumanth's Personal Website https://sumanthrh.com/post/distributed-and-efficient-finetuning/ 1 comment
- The Novice's LLM Training Guide https://rentry.co/llm-training 0 comments
- The Busy Person's Intro to Finetuning & Open Source AI - Wing Lian, Axolotl https://www.latent.space/p/axolotl 0 comments
- Fine-tune Llama 2 for English to Hinglish translation with axolotl – Replicate https://replicate.com/blog/fine-tune-translation-model-axolotl 0 comments
- GitHub - pytorch/torchtune: PyTorch native finetuning library https://github.com/pytorch/torchtune 0 comments
- How to Train Your Large Language Model — Atredis Partners https://www.atredis.com/blog/2024/6/3/how-to-train-your-large-language-model 0 comments
- GitHub - slashml/awesome-finetuning https://github.com/slashml/awesome-finetuning 0 comments
- GitHub - google-gemini/gemma-cookbook: A collection of guides and examples for the Gemma open models from Google. https://github.com/google-gemini/gemma-cookbook 0 comments
Linked pages
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