casareborgia/my-vrain-new1
my-vrain-new1 is a 2.6 billion parameter language model developed by casareborgia, provided in GGUF format. This model was fine-tuned using Unsloth, enabling faster training and efficient deployment. It is designed for general text generation tasks, with specific instructions for use with llama-cli and Ollama. The model has a context length of 8192 tokens and is optimized for compatibility with GGUF-based inference engines.
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Model Overview
my-vrain-new1 is a 2.6 billion parameter language model developed by casareborgia, distributed in the GGUF format. This model was fine-tuned leveraging the Unsloth library, which facilitated a 2x faster training process. It is specifically packaged for efficient deployment and inference on local hardware.
Key Features and Usage
- GGUF Format: The model is provided as
gemma-2-2b-it.Q4_K_M.gguf, ensuring broad compatibility with various inference engines. - Unsloth Optimization: Benefits from Unsloth's optimizations for faster training and potentially improved inference performance.
- CLI Compatibility: Ready for use with
llama-clifor text-only applications andllama-mtmd-clifor multimodal scenarios, both supporting Jinja templating. - Ollama Integration: Includes a dedicated Modelfile for straightforward deployment and management within the Ollama ecosystem.
- BOS Token Adjustment: The model's Beginning-of-Sentence (BOS) token behavior has been specifically adjusted to ensure optimal compatibility with the GGUF specification.
Ideal Use Cases
- Local Inference: Suited for developers and users looking to run a capable language model locally with efficient resource utilization.
- Rapid Prototyping: The Unsloth-optimized training makes it a good candidate for projects requiring quick iteration and deployment.
- GGUF-centric Workflows: Integrates seamlessly into existing workflows that utilize GGUF models and tools like
llama.cppor Ollama.