kimjonguk/my-ai.Q4_K_M
The kimjonguk/my-ai.Q4_K_M model is a 1.1 billion parameter language model, finetuned and converted to GGUF format using Unsloth. This model is optimized for efficient deployment and inference, leveraging the Unsloth framework for faster training. It is suitable for applications requiring a compact yet capable LLM, particularly for local or edge device inference.
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Model Overview
The kimjonguk/my-ai.Q4_K_M is a 1.1 billion parameter language model, provided in the GGUF format. This model has been finetuned and optimized using the Unsloth framework, which is noted for enabling significantly faster training times.
Key Characteristics
- Parameter Count: 1.1 billion parameters, making it a relatively compact model.
- Format: Available in GGUF format, suitable for efficient inference with tools like
llama-cli. - Optimization: Finetuned with Unsloth, indicating a focus on training efficiency and potentially optimized performance for its size class.
- Context Length: Supports a context length of 2048 tokens.
Usage Considerations
This model is particularly well-suited for scenarios where efficient deployment and inference are critical, such as running on consumer hardware or edge devices. Its GGUF format and Unsloth optimization suggest it prioritizes performance and accessibility for a smaller model footprint. Developers can utilize command-line interfaces like llama-cli for text-only applications or llama-mtmd-cli for multimodal use cases, leveraging the --jinja flag for prompt templating.