Llama 4 documentation. To learn more about Batch, click here. Start building advanced personalized experiences. Apr 18, 2024 · Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. Apr 5, 2025 · Meta — Llama 4 Scout 17B Instruct Model Details Llama 4 Scout is Meta's 17-billion active parameter mixture-of-experts model with 16 experts and a 10M token context window for long-document tasks. Output: multilingual text, code Models Llama 4 Scout ollama run llama4:scout 109B parameter MoE model with 17B active parameters Llama 4 Maverick ollama run llama4:maverick 400B parameter MoE model with 17B active parameters Intended Use Intended Use Cases: Llama 4 is intended for commercial and research use in multiple languages. Feb 25, 2026 · The Llama 4 models leverage a Mixture of Experts (MoE) architecture, enabling efficient and powerful processing capabilities. These models are released under the custom Llama 4 Community License Agreement, available on the model repositories. Contribute to abetlen/llama-cpp-python development by creating an account on GitHub. Meta Llama 3, a family of models developed by Meta Inc. 5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. - ollama/ollama. 1 405B— the first frontier-level open source AI model. For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bitint4 quantization, while Maverick is available in BF16 and FP8 formats. For more information about model development and performance, see the model/service card. Click to learn more about service tiers. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. Please The Groq LPU delivers inference with the speed and cost developers need. Groq Compound Groq Compound is an AI system powered by openly available models that intelligently and selectively uses built-in tools to answer user queries, including web search and code execution. A 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2. Amazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at a 50% lower price compared to on-demand inference pricing. Apr 18, 2024 · Readme Llama 3 The most capable openly available LLM to date. In the coming months, we expect to share new capabilities, additional model sizes, and more. Contribute to meta-llama/llama3 development by creating an account on GitHub. Experience top performance, multimodality, low costs, and unparalleled efficiency. Jul 23, 2024 · Bringing open intelligence to all, our latest models expand context length, add support across eight languages, and include Meta Llama 3. are new state-of-the-art , available in both 8B and 70B parameter sizes (pre-trained or instruction-tuned). Feature Llama For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bitint4 quantization, while Maverick is available in BF16 and FP8 formats. llama-4-scout-17b-16e-instruct model. LangChain is the easy way to start building completely custom agents and applications powered by LLMs. The official Meta Llama 3 GitHub site. LangChain provides a prebuilt agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications. Python bindings for llama. See the following sections for details about the meta. The Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. Mar 6, 2026 · A technical and strategic analysis of Meta Llama 4 Maverick (400B MoE) and Scout (10M context window): architecture, benchmarks, cost structure, and what engineering leaders need to know to update their open-source AI strategy. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. Meet Llama 4, the latest multimodal AI model offering cost efficiency, 10M context window and easy deployment. Drive developer productivity and innovation. cpp. Discover Llama 4's class-leading AI models, Scout and Maverick. Explore Llama's full potential with our comprehensive documentation and resources. Get up and running with Kimi-K2. The models have a knowledge cutoff of August 2024. 0 Flash on a wide range of common benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding—with less than half the number of active parameters. Amazon Bedrock supports a variety of tiers including Standard, Flex, Priority, and Reserved tiers. okjnds tmzjvng tcyi xitta pikfb ead rpff cuithlx nqey vnwsegp