Search results for "LLaMA"

StableLM is an open-source large language model series launched by Stability AI. It is trained on The Pile extended dataset, which contains 1.5 trillion tokens. It offers multiple parameter versions, including 1.6B, 3B, 7B, and 12B, and supports text generation and code writing. It is licensed under the CC BY-SA 4.0 open-source license, allowing free commercial use. Stable LM 2 12B outperforms Llama 2 70B in some benchmark tests. It is suitable for developers, researchers, and small and medium-sized enterprises for private deployment.

2026-07-02

LLaMA is an open-source family of large language models launched by Meta, evolving from LLaMA 1 in February 2023 to multimodal LLaMA 4. The 70B parameter version boasts performance close to GPT-4, while the 405B version rivals GPT-4o. It is completely open-source and commercially viable. Enterprises can download and deploy it on their own servers without data sharing, meeting compliance requirements in industries such as finance and healthcare. With over 1.2 billion downloads globally, it is suitable for developers and enterprises requiring private deployment and deep customization.

2026-07-02

Jan is a free and open-source AI assistant tool designed to run large language models locally on user devices without requiring internet connectivity. It supports multiple mainstream models (e.g., Llama, Mistral) and offers a clean, intuitive interface for easy model loading and management. Jan prioritizes privacy by processing all data entirely on-device, making it ideal for users concerned about data security. Suitable for personal learning, writing assistance, and lightweight development tasks, Jan delivers efficient and private AI experiences.

2026-07-15

The Meta AI Developer Platform is the core entry point for Meta's generative AI ecosystem. Through the open-source Llama model, the high-performance Muse Spark programming model, and the Meta Model API, it provides developers with end-to-end support, from model fine-tuning and application building to commercial deployment. Its core strategy is to evolve from "content-generating AI" to "task-execution AI Agents," aiming to make AI the infrastructure driving product efficiency and commercial transformation.

2026-07-14

Youbooks is an AI-powered non-fiction book generator that transforms your ideas into a publish-ready draft of up to 300,000 words. It trains a dedicated 'Human model' on your writing samples (20K–200K words) to capture your unique cadence, vocabulary, and structure. You can upload your own sources (PDFs, docs, transcripts) or let the AI search the web for context. The platform orchestrates over 1,000 sophisticated steps—including agentic brainstorming with ChatGPT, Claude, Gemini, and Llama—to refine and structure each chapter. Users retain full rights to their content and trained voice. Ideal for authors, researchers, and professionals seeking a fast, personalized book creation process.

2026-07-23

Unsloth is an open-source tool designed to accelerate fine-tuning of large language models, supporting Llama, Mistral, Gemma, and more. With double quantization and optimized kernels, it achieves up to 2x speed improvement and 80% memory reduction on consumer GPUs while maintaining model accuracy. No need for high-end hardware; free to use on Colab, ideal for individual developers and SMEs to quickly customize AI assistants.

2026-07-26

TurfMind AI Agent is an AI-first skill for landscaping field service management. It is built on a local-first architecture, integrating the Glen AI agent, OpenClaw/NemoClaw security framework, and running Qwen 3.5 models via Ollama. This skill helps landscaping teams efficiently manage field tasks, customer communication, work order scheduling, and equipment maintenance, enabling intelligent and automated turf and landscape management. Licensed under Apache 2.0, it is suitable for small to medium landscaping service businesses or individuals.

Property Care Skill is a core skill in the Agentic Meadows project, focusing on AI-driven landscape and property management. It leverages the Glen AI agent, OpenClaw/NemoClaw security framework, and the Qwen 3.5 model running via Ollama to provide local-first field service management. Suitable for property maintenance, landscape care, and intelligent monitoring scenarios, it helps users automate daily inspections, task assignment, and report generation. The skill is released under the Apache 2.0 open-source license, supporting custom extensions and integrations.

This skill is part of the agenticmeadows project, focusing on client management within AI-first landscaping field service management. It features a local-first architecture, leveraging the Glen AI agent, OpenClaw/NemoClaw security, and the Qwen 3.5 model via Ollama. Designed to help service providers efficiently manage client information, communication logs, and service history. Suitable for industries like landscaping and property management that require field services, enhancing the automation and intelligence of customer relationship management.

TurfMind AI Agent is an AI-first landscaping field service management skill focusing on local-first intelligent operations. It integrates the Glen AI agent, supports running Qwen 3.5 model via Ollama, and incorporates OpenClaw/NemoClaw security framework to deliver efficient and secure service management. Suitable for landscaping maintenance, turf management, and gardening services, it helps automate task assignment, real-time monitoring, data analysis, and decision support. Open source under Apache 2.0 license, ideal for developers and operations teams to quickly deploy and customize.