ErrorAIStudios/Stark-v1
VISIONConcurrency Cost:1Model Size:4.3BQuant:BF16Ctx Length:32kPublished:May 20, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
ErrorAIStudios/Stark-v1 is a 4.3 billion parameter instruction-tuned causal language model developed by ErrorAIStudios. Finetuned from unsloth/gemma-3-4b-it-unsloth-bnb-4bit, it leverages Unsloth for accelerated training. This model is designed for general instruction-following tasks, offering efficient performance within its 32768 token context window.
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ErrorAIStudios/Stark-v1: An Efficient Instruction-Tuned Model
Stark-v1 is a 4.3 billion parameter instruction-tuned language model developed by ErrorAIStudios. It is finetuned from the unsloth/gemma-3-4b-it-unsloth-bnb-4bit base model, utilizing the Unsloth library and Hugging Face's TRL library for significantly faster training.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of user instructions.
- Efficient Performance: Benefits from Unsloth's accelerated training, suggesting potential for efficient inference.
- Context Window: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
Good For
- Applications requiring a compact yet capable instruction-following model.
- Scenarios where efficient deployment and inference are critical.
- Tasks benefiting from a large context window, such as summarization of long documents or multi-turn conversations.