|
- Meta Llama 4 模型系列全面解析：技术突破与行业影响 - 知乎
Llama 4系列包括三个主要模型： Llama 4 Scout、Llama 4 Maverick和Llama 4 Behemoth，每个模型都针对不同场景和需求进行了优化。 这些模型延续了Meta在开源AI领域的技术传承，同时在性能、功能和应用场景上实现了质的飞跃。
- Unmatched Performance and Efficiency | Llama 4
Meet Llama 4, the latest multimodal AI model offering cost efficiency, 10M context window and easy deployment Start building advanced personalized experiences
- The Llama 4 herd: The beginning of a new era of natively multimodal AI . . .
We’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context length support and our first built using a mixture-of-experts (MoE) architecture
- Llama4 - Hugging Face
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最新架构全解析（深度揭秘），从入门到精通，看这一篇就够了！-CSDN博客
Llama 4是Meta AI推出的新一代开源大模型，是Llama系列的第四代。 下面将结合现有Llama系列（主要是Llama 3和Llama 3 1）的架构演进、行业趋势以及DeepSeek的架构，对Llama 4的架构进行深入分析。 （对于deepseek的深入分析可以看我们的其他文章）
- llama4
The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences These two models leverage a mixture-of-experts (MoE) architecture and support native multimodality (image input)
- Llama 4 – Meta 开源的多模态系列AI模型，重夺开源王座
Llama 4 是 Meta 开源的多模态系列AI模型。 首次采用混合专家（MoE）架构，在训练和推理时计算效率更高。 Llama 4 目前有 Scout 和 Maverick 两个版本。
- llama-models models llama4 MODEL_CARD. md at main - GitHub
Llama 4 is a more steerable model, meaning responses can be easily tailored to meet specific developer outcomes Effective system prompts can significantly enhance the performance of large language models
|
|
|