yonommy0328/ConnectAI-basic-v3

TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 29, 2026Architecture:Transformer Featherless Exclusive Cold

ConnectAI-basic-v3 by yonommy0328 is a 0.5 billion parameter Qwen2.5-0.5B-Instruct model, fine-tuned and converted to GGUF format using Unsloth. This compact model offers a 32768 token context length, making it suitable for efficient, instruction-based language tasks. Its optimization with Unsloth allows for faster training and deployment, particularly for applications requiring a lightweight yet capable LLM.

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Overview

ConnectAI-basic-v3 is a 0.5 billion parameter language model, specifically a Qwen2.5-0.5B-Instruct variant. It has been fine-tuned and converted into the GGUF format, leveraging the Unsloth framework for accelerated training and conversion. This model is designed for efficient deployment and use in various language-based applications.

Key Capabilities

  • Compact Size: At 0.5 billion parameters, it offers a lightweight solution for resource-constrained environments.
  • GGUF Format: Provided in GGUF format, ensuring compatibility with popular inference engines like llama-cli and llama-mtmd-cli.
  • Optimized Training: Benefits from Unsloth's optimizations, enabling faster training times.
  • Ollama Support: Includes an Ollama Modelfile for simplified deployment and integration into Ollama ecosystems.

Good For

  • Efficient Instruction Following: Suitable for tasks requiring a smaller model to follow instructions effectively.
  • Edge Device Deployment: Its compact size and GGUF format make it ideal for deployment on devices with limited computational resources.
  • Rapid Prototyping: The Unsloth optimization and Ollama support facilitate quick setup and experimentation.

Finetunes
1 models