# Commercial License

Text-to-speech model trained on 1000+ hours of Danish data, supporting natural conversation scenario speech synthesis

OpenCodeReasoning-Nemotron-32B is a large language model based on Qwen2.5-32B-Instruct, specifically trained for code generation and reasoning capabilities, supporting a 32K token context length, and freely available for commercial/non-commercial use.

A 1.5B-parameter model fine-tuned for instructions based on Hymba-1.5B-Base, capable of handling complex tasks such as mathematical reasoning, function calling, and role-playing

Hymba-1.5B-Base is a foundational text generation model developed by NVIDIA, employing a hybrid architecture combining Mamba and attention heads, suitable for various natural language generation tasks.

Llama-3.2-3B is a multilingual large language model released by Meta, featuring a 3B-parameter pre-trained and instruction-tuned generative model optimized for multilingual dialogue use cases.

Nemotron-Mini-4B-Instruct is a response generation model developed by NVIDIA, optimized for role-playing, retrieval-augmented generation, and function calling. It is fine-tuned based on Minitron-4B-Base and supports a context length of 4096 tokens.

FireFunction V2 is a state-of-the-art function calling model with a commercially viable license, trained on Llama 3, supporting parallel function calls and strong instruction following.

Code Llama is a series of pre-trained generative text models released by Meta, focusing on code generation and understanding, with versions ranging from 7 billion to 34 billion parameters.

Code Llama is a series of code generation and understanding models from Meta with parameter scales ranging from 7B to 34B. This version is the 7B base model.

DeepSeekMath is a model specialized in the field of mathematics, supporting commercial use under the MIT License.

Code Llama is a series of large models for code generation and understanding developed by Meta. This version is a 13B-parameter variant specialized for Python.