This is a 4.0bpw, h6 exl2 quant of the Llama 3.1 model. Big thanks to turboderp and grimulkan for their assistance. measurements.json is also included for those that want to make their own quants. By utilizing these quants, you agree to abide by the terms and conditions of the original model. Compute for this quantization provided under the NSF NAIRR Pilot program under resource allocation, NAIRR240051 — Neuro-inspired Oversight for Safe and Trustworthy Large Language Models 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 versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. Training Data Params …
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: ek826
Теги: llama, facebook, meta, llama-3, conversational, en, de, fr
Лайков: 3 | Загрузок: 14
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
