Alamaks/Gema4b
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kPublished:Jul 19, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm
Gema4b is a 1 billion parameter instruction-tuned causal language model developed by Alamaks, fine-tuned from unsloth/gemma-3-1b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It supports a context length of 32768 tokens and is suitable for general instruction-following tasks.
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Overview
Gema4b is a 1 billion parameter instruction-tuned language model developed by Alamaks. It is fine-tuned from the unsloth/gemma-3-1b-it-unsloth-bnb-4bit base model, leveraging the Unsloth library and Huggingface's TRL for efficient training.
Key Capabilities
- Instruction Following: Designed to understand and execute a wide range of instructions.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for 2x faster finetuning compared to standard methods.
- Extended Context: Supports a context length of 32768 tokens, enabling processing of longer inputs and generating more comprehensive responses.
Good For
- Applications requiring a compact yet capable instruction-tuned model.
- Scenarios where rapid finetuning and deployment are crucial.
- Tasks benefiting from a larger context window for better understanding and generation.