Yoshkeen/gemma-3-chgk-finetune-merged
VISIONPricing:Input $0.4 / Cached $0.08 / Output $1.2Concurrent Unit Cost:2Model Size:27BQuant:FP8Context Size:32kPublished:Sep 14, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Yoshkeen/gemma-3-chgk-finetune-merged is a 27 billion parameter Gemma-3 model developed by Yoshkeen. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is based on unsloth/gemma-3-27b-it-unsloth-bnb-4bit and is suitable for general language generation tasks.
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Model Overview
This model, Yoshkeen/gemma-3-chgk-finetune-merged, is a 27 billion parameter Gemma-3 variant developed by Yoshkeen. It was finetuned from the unsloth/gemma-3-27b-it-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Gemma-3, a large language model known for its capabilities in various NLP tasks.
- Parameter Count: 27 billion parameters, offering a balance between performance and computational requirements.
- Training Efficiency: The finetuning process leveraged Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Potential Use Cases
This finetuned Gemma-3 model is suitable for a broad range of applications, including:
- Text generation and completion.
- Question answering.
- Summarization.
- Conversational AI and chatbots.
Its efficient training methodology makes it an interesting option for developers looking for powerful models with optimized development cycles.