kimjonguk/my-ai.Q4_K_M-v3
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:Jun 28, 2026Architecture:Transformer Featherless Exclusive Cold
kimjonguk/my-ai.Q4_K_M-v3 is a 1.1 billion parameter language model, converted to GGUF format. This model was fine-tuned using Unsloth, enabling faster training. It is designed for efficient deployment and inference on various hardware, leveraging the GGUF quantization for reduced resource consumption. Its primary application is general text generation and processing tasks.
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Overview
kimjonguk/my-ai.Q4_K_M-v3 is a 1.1 billion parameter language model, provided in the GGUF format for optimized inference. This model was fine-tuned using the Unsloth library, which is noted for significantly accelerating the training process.
Key Capabilities
- Efficient Inference: Available in GGUF format, making it suitable for local deployment and efficient execution on consumer hardware.
- Unsloth Optimization: Benefits from Unsloth's training optimizations, suggesting a potentially well-tuned model despite its smaller size.
Good For
- Text Generation: General-purpose text generation tasks where a compact and efficient model is preferred.
- Local Deployment: Ideal for applications requiring on-device inference due to its GGUF quantization.
- Experimentation: Useful for developers looking to integrate a fine-tuned model with Unsloth's performance benefits.