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This repository contains two versions of Meta-Llama-3-8B-Instruct, for use with transformers and with the original llama3 codebase. Use with transformers You can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the generate() function.
Llama 3. The most capable openly available LLM to date. Meta Llama 3, a family of models developed by Meta Inc. are new state-of-the-art , available in both 8B and 70B parameter sizes (pre-trained or instruction-tuned).
"Llama 3.1" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at .
Llama 3 8B Instruct est un outil puissant pour une large gamme de tâches, de la génération de contenu à l'IA conversationnelle. Pour obtenir les meilleurs résultats, il est important de comprendre comment créer les bonnes invites et ajuster les paramètres comme la température. Voici comment en tirer le meilleur parti.
Our latest version of Llama is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly. This release includes model weights and starting code for pre-trained and instruction-tuned Llama 3 language models — including sizes of 8B to 70B parameters.
With the subsequent release of Llama 3.2, we have introduced new lightweight models in 1B and 3B and also multimodal models in 11B and 90B. The first few sections of this page-- Prompt Template, Base Model Prompt, and Instruct Model Prompt --are applicable across all the models released in both Llama 3.1 and Llama 3.2.
We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts. Model developer : Meta
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.
Comprendre les différences entre Llama Base et Instruct Models. Explorez leurs applications et avantages uniques en matière de compréhension du langage et d'exécution des tâches.
Input a message to start chatting with unsloth/Meta-Llama-3.1-8B-Instruct. Meta's Llama 3.1 models including 8B, 70B, 405B. Includes 4-bit bnb and original versions.• 13 items• 24 days ago• 5. We’re on a journey to advance and democratize artificial intelligence through open source and open science.