tda45/TdAI
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 3, 2026License:gpl-3.0Architecture:Transformer Open Weights Featherless Exclusive Cold
TdAI is an 8 billion parameter instruction-tuned causal language model developed by tda45, based on the NousResearch/Hermes-3-Llama-3.1-8B architecture. This model is fine-tuned for chat, roleplaying, and function calling, leveraging synthetic data and distillation techniques. It supports a 32K context length and is designed for general conversational AI applications.
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TdAI Model Overview
TdAI is an 8 billion parameter instruction-tuned language model developed by tda45, built upon the NousResearch/Hermes-3-Llama-3.1-8B base model. It features a substantial 32,768 token context window, enabling it to handle longer and more complex conversational interactions.
Key Capabilities
- Instruction Following: Fine-tuned to accurately follow instructions for various tasks.
- Chat and Roleplaying: Optimized for engaging in dynamic conversations and adopting specific personas.
- Function Calling: Designed to support function calling, allowing integration with external tools and APIs.
- JSON Mode: Capable of generating structured JSON output, useful for programmatic interactions.
- Synthetic Data Training: Utilizes synthetic data and distillation methods to enhance performance and robustness.
Good For
- General Chatbots: Ideal for creating interactive and responsive conversational agents.
- Roleplaying Scenarios: Excels in applications requiring the model to maintain a consistent character or role.
- Automated Assistants: Suitable for tasks that involve understanding user intent and executing specific functions.
- Structured Output Generation: Useful for developers needing reliable JSON output from an LLM.