Llama
Meta Llama 3, the next generation of state-of-the-art open source large language model. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases.
Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance.
We are enthusiasts and lovers of this incredible tool. On this website we will be exploring its possibilities and sharing latest news about Llama 3 Model.
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Llama 3.2
The two largest models in the Llama 3.2 collection, the 11B and 90B, are designed for image reasoning tasks such as document-level comprehension, including interpreting charts and graphs, image captioning, and visual grounding tasks like identifying objects in images based on natural language prompts. For instance, someone could ask which month in the previous year…
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WordLLama
WordLlama is a utility for NLP and word embedding that repurposes components from large language models (LLMs) to generate efficient and compact word representations, similar to GloVe, Word2Vec, or FastText. It starts by extracting the token embedding codebook from a state-of-the-art LLM (e.g., LLaMA3 70B) and trains a small, context-free model within a general-purpose embedding…
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How to Run Llama 3.1 Locally
Llama 3.1 is the latest large language model (LLM) developed by Meta AI, following in the footsteps of popular models like ChatGPT. This article will guide you through what Llama 3.1 is, why you might want to use it, how to run it locally on Windows, and some of its potential applications. Let’s dive in…