We have a free Google Colab notebook for turning Llama 3.1 (8B) into a reasoning model: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-GRPO.ipynb All notebooks are beginner friendly! Add your dataset, click «Run All», and you’ll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. — This Llama 3.2 conversational notebook-Conversational.ipynb) is useful for ShareGPT ChatML / Vicuna templates. — This text completion notebook-TextCompletion.ipynb) is for raw text. This DPO notebook replicates Zephyr. — Kaggle has 2x T4s, but we use 1. Due to overhead, 1x T4 is 5x faster. The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. Model Architecture: Llama 3.1 is an auto-regressive language model that uses an optimized transformer architecture. The tuned…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: unsloth
Теги: llama, llama-3, meta, facebook, unsloth, conversational, en, text-generation-inference
Лайков: 4 | Загрузок: 20,357
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
