jgchaparro/language_garden-fax-spa-4B-bl-m-merged
The jgchaparro/language_garden-fax-spa-4B-bl-m-merged model is a 4.3 billion parameter language model, finetuned by jgchaparro from unsloth/gemma-3-4b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging its Gemma 3B base for efficient performance.
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Model Overview
The jgchaparro/language_garden-fax-spa-4B-bl-m-merged is a 4.3 billion parameter language model developed by jgchaparro. It is finetuned from the unsloth/gemma-3-4b-it-unsloth-bnb-4bit base model, indicating its foundation in the Gemma 3B architecture.
Key Characteristics
- Base Model: Finetuned from
unsloth/gemma-3-4b-it-unsloth-bnb-4bit. - Training Efficiency: The finetuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x speedup in training compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications requiring a compact yet capable language model, particularly where efficient finetuning is a priority. Its Gemma 3B foundation suggests applicability for a range of general language understanding and generation tasks.