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The release of Fireworks AI's Llama 3.1 405B Instruct has marked a significant advancement in open-source large language models (LLMs). With an impressive 405 billion parameters and a context length of 128K tokens, this model supports complex reasoning tasks, multilingual capabilities, and extensive interactions. This post will
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Fireworks AI has recently released its latest advanced language model, Llama4-Scout-Instruct-Basic, an instruct-tuned variant based on Meta’s Llama 4 Scout. This model is built using a Mixture-of-Experts (MoE) architecture, boasting 109 billion parameters, with roughly 17 billion active parameters per request. It excels at reasoning, coding, summarization, and multimodal
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Fireworks AI recently unveiled the Llama4-Maverick-Instruct-Basic, a groundbreaking large language model (LLM) that brings significant advancements in intelligence, multimodal capabilities, and cost-effectiveness. Designed to deliver unmatched performance, this model features an impressive 1 million token context window, powerful multimodal integration, and a competitive pricing structure. Architecture and Capabilities Llama4-Maverick-Instruct-Basic employs
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The AI coding community has recently welcomed a significant advancement with the release of DeepSeek-Coder-V2-Instruct—a powerful, open-source coding model from DeepSeek AI. This new model, available via the Fireworks AI platform, sets a new standard in AI-assisted coding, excelling in both complex coding challenges and mathematical reasoning. What is
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The evolution of large language models (LLMs) continues to accelerate, and Fireworks AI's latest offering, the Llama 3.1 8B Instruct, is a testament to this rapid advancement. As part of the Meta Llama 3.1 collection, this model stands out with its unique features and capabilities, designed
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The release of Fireworks AI/Nomic-Embed-Text-v1.5 marks a significant advancement in the landscape of language models, offering a range of features designed to enhance the performance and flexibility of text embeddings. This blog post delves into the key aspects of this model, its technical capabilities, and practical applications. Unveiling
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Fireworks AI has integrated DeepSeek V3, a groundbreaking Large Language Model (LLM) developed by the Chinese AI firm DeepSeek, setting new standards in the AI community. Designed with 671 billion parameters and 37 billion activated parameters, DeepSeek V3 ranks among the largest and most efficient open-source models available today. Trained
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Fireworks AI has unveiled its latest innovation in multimodal language models: the Llama 3.2 90B Vision model. This model, part of the Llama 3.2 series, integrates advanced capabilities for image understanding and visual reasoning, making it a powerful tool for a variety of applications. Model Overview The Llama
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Fireworks AI is excited to announce the availability of the Llama 3.2 1B (text-only) model. This new language model is designed to cater to a wide range of tasks, including retrieval, summarization, personal information management, multilingual knowledge retrieval, and rewriting tasks. Model Availability and Capabilities The Llama 3.2
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The Fireworks AI platform has recently unveiled its latest addition to the Llama 3.2 series - the Llama-V3p2-3B-Instruct model. This powerful language model is designed to optimize tasks such as query and prompt rewriting, making it an invaluable tool for mobile AI-powered writing assistants and customer service applications. Model
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Fireworks AI has recently made significant strides in the AI industry, marked by a successful Series B funding round and groundbreaking advancements in its product lineup. This blog post dives into the latest updates, highlighting the company's new large language model (LLM), Fireworks-AI-Default, and other innovations. Funding and
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Fireworks AI is revolutionizing the world of data retrieval and text analysis with its advanced embedding models, including the latest addition, Fireworks-AI-Embedding-Up-To-150M. This cutting-edge model is designed to handle up to 150 million tokens, making it a powerful tool for various applications such as similarity comparisons and search. Pricing and