LLaMA 3.2 is designed for tasks involving both visual and textual data. It excels in tasks like image description and visual question answering, bridging the gap between language generation and visual reasoning.

LLaMA 3.2 is designed for tasks involving both visual and textual data. It excels in tasks like image description and visual question answering, bridging the gap between language generation and visual reasoning.

LLaMA 3.2 is designed for tasks involving both visual and textual data. It excels in tasks like image description and visual question answering, bridging the gap between language generation and visual reasoning.

LLaMA 3.2 is designed for tasks involving both visual and textual data. It excels in tasks like image description and visual question answering, bridging the gap between language generation and visual reasoning.

Llama 3.1 8B model utilizes FP8 quantization, supporting up to 131,072 context tokens, making it a standout in open-source models, excelling in complex tasks and outperforming many industry benchmarks.

Llama 3.1 70B model is finely tuned for high-load applications, quantized to FP8 for enhanced computational efficiency and accuracy, ensuring outstanding performance in complex scenarios.

The 405B Llama 3.1 Turbo model provides massive context support for big data processing, excelling in large-scale AI applications.

Llama 3 8B Instruct Turbo is a high-performance large language model, supporting a wide range of application scenarios.

Llama 3 70B Instruct Turbo offers exceptional language understanding and generation capabilities, suitable for the most demanding computational tasks.

Llama 3 8B Instruct Lite is designed for resource-constrained environments, providing excellent balanced performance.

Llama 3 70B Instruct Lite is suitable for environments requiring high performance and low latency.

LLaMA-3 Chat (8B) provides multilingual support, covering a rich array of domain knowledge.

LLaMA-3 Chat (70B) is a powerful chat model that supports complex conversational needs.

LLaMA-2 Chat (13B) offers excellent language processing capabilities and outstanding interactive experiences.

LLaMA-2 provides excellent language processing capabilities and outstanding interactive experiences.

Gemma 2 is Google's lightweight open-source text model series.

Gemma 2 continues the design philosophy of being lightweight and efficient.

Gemma Instruct (2B) provides basic instruction processing capabilities, suitable for lightweight applications.

Mistral (7B) Instruct v0.3 offers efficient computational power and natural language understanding, suitable for a wide range of applications.

Mistral 7B is a model fine-tuned on demand, providing optimized answers for tasks.

Mistral (7B) Instruct is known for its high performance, suitable for various language tasks.

Mistral 7B is a compact yet high-performance model, adept at handling batch processing and simple tasks like classification and text generation, featuring good reasoning capabilities.

Mixtral 8x7B is a pre-trained sparse mixture of experts model for general text tasks.

Mixtral 8x7B is a sparse expert model that utilizes multiple parameters to enhance reasoning speed, suitable for multilingual and code generation tasks.