Llama-3.1-8B-onnx-ryzenai-npu is an optimized version developed by AMD based on Meta's Llama-3.1-8B model, specifically optimized for deployment on the AMD Ryzen AI NPU. Through Quark quantization, OGA model builder, and NPU-specific post-processing technology, this model significantly improves the inference efficiency on AMD hardware while maintaining high-quality text generation capabilities.

Natural Language ProcessingOnnxEnglish

A large language model based on Meta Llama-3.3-70B-Instruct, optimized through multi - stage training, performs excellently in tasks such as inference and chatting, supports multiple languages, and is suitable for various AI application scenarios. Optimized using neural architecture search technology, it can run efficiently on a single H100 - 80GB GPU.

Natural Language ProcessingTransformersEnglish

This is a derivative model based on Meta AI's LLaMA 3.1 base model, specifically optimized for FastFlowLM on the AMD Ryzen™ AI NPU and only applicable to the XDNA2 architecture. The model retains the core architecture and weights released by Meta and may be fine-tuned, quantized, or adapted for specific applications.

This is an optimized variant of the LLaMA 3.2 1B Instruct model released by Meta AI, specifically optimized for FastFlowLM on the AMD Ryzen™ AI NPU (XDNA2 architecture). The model retains the original architecture and weights, and improves the operation efficiency on the NPU through technologies such as quantization and low-level tuning.

Llama-4-Scout is one of the Llama 4 series models launched by Meta. It adopts a Mixture of Experts (MoE) architecture and is a native multimodal AI model that supports text and image input. It performs excellently in multilingual text understanding and visual tasks. This model has 17B parameters and 16 experts and is designed for commercial and research purposes.

MultimodalSafetensorsMultiple Languages

The Llama 4 series is a native multimodal AI model launched by Meta. It adopts the Mixture of Experts architecture, supports text and image interaction, and performs excellently in various language and visual tasks.

MultimodalTransformersMultiple Languages

The Llama 4 series is a native multimodal AI model launched by Meta, supporting text and image interaction. It adopts the Mixture of Experts architecture and performs excellently in text and image understanding.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a native multimodal AI model launched by Meta, supporting multilingual text and image understanding. It adopts the Mixture of Experts architecture and has industry-leading performance in text and image understanding.

MultimodalTransformersMultiple Languages

The Llama 4 series is a multimodal AI model developed by Meta, supporting text and image interaction, utilizing a Mixture of Experts (MoE) architecture, and demonstrating leading performance in text and image comprehension.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a 17-billion-parameter multimodal AI model developed by Meta, featuring a Mixture of Experts architecture with support for 12 languages and image understanding.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a native multi-modal AI model launched by Meta. It uses a mixture of experts architecture and supports text and image input, outputting multi-language text and code.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a multimodal AI model released by Meta, supporting text and image understanding. It adopts a Mixture of Experts (MoE) architecture and excels in multilingual text and code generation tasks.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a 17B parameter/16-expert multimodal AI model from Meta, supporting 12 languages and image understanding with industry-leading performance.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a multimodal AI model developed by Meta, utilizing a Mixture of Experts architecture, supporting text and image understanding, with 17 billion active parameters and 400 billion total parameters.

MultimodalTransformersMultiple Languages

The Llama 4 series is a multimodal AI model developed by Meta, supporting text and image understanding with a mixture-of-experts architecture.

MultimodalTransformersMultiple Languages

Llama 4 Scout is a multimodal AI model developed by Meta, featuring a mixture-of-experts architecture, supporting text and image interactions in 12 languages, with 17B active parameters and 109B total parameters.

MultimodalTransformersMultiple Languages

Llama 4 Maverick is a 17-billion-parameter multimodal AI model developed by Meta, featuring a Mixture of Experts (MoE) architecture, supporting multilingual text and image understanding with 128 expert modules.

MultimodalTransformersMultiple Languages

The Llama 4 series is a multimodal AI model developed by Meta, supporting text and image interactions, utilizing a Mixture of Experts (MoE) architecture, and delivering industry-leading performance in text and image comprehension.

MultimodalTransformersMultiple Languages

The AWQ 4-bit quantization version of Llama-3.3-70B-Instruct, developed by Meta AI, supports multiple languages and is suitable for text generation tasks.

Natural Language ProcessingTransformersMultiple Languages

Dorna2-Llama3.1-8B-Instruct is an 8B parameter large language model developed by Part AI based on Meta Llama 3.1 Instruct, specifically optimized for Persian language.

Natural Language ProcessingTransformersMultiple Languages