模型

浏览来自所有提供商的 53 个标准化 LLM 模型

显示第 49–53 项,共 53 个模型

ISSAI KazLLM 1.0 70B

哈萨克斯坦

Large language model developed by ISSAI (Nazarbayev University) customized from Llama 3.1 70B to improve helpfulness of responses in the Kazakh language. Part of Kazakhstan's initiative to ensure the country benefits from generative AI advancements.

上下文
128K
发布日期
2024年12月

Llama 3.3 70B Instruct

美国

Meta's flagship open-weight model with 70 billion parameters. Strong multilingual capabilities with competitive performance on reasoning and coding benchmarks. Available for self-hosting and through various inference providers.

上下文
131K
发布日期
2024年12月

DeepSeek V3

中国

DeepSeek's third-generation large language model featuring mixture-of-experts architecture, strong multilingual capabilities, and competitive performance on reasoning and coding benchmarks.

上下文
128K
发布日期
2024年12月

Command R7B

美国

Cohere's compact 7B parameter model optimized for RAG, tool use, and code tasks. Delivers top-tier speed and efficiency on commodity GPUs and edge devices with 128K context window.

上下文
128K
发布日期
2024年12月

Llama 3.1 8B Instruct

美国

Meta's efficient open-weight model with 8 billion parameters from the Llama 3.1 family. Optimized for instruction following with strong performance on general tasks, coding, and multilingual benchmarks. Ideal for cost-effective deployment and edge inference scenarios.

上下文
131K
发布日期
2024年7月