Adihere69/VakilOS
TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Adihere69/VakilOS is a 7.6 billion parameter Qwen2.5-based instruction-tuned causal language model developed by Adihere69. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is optimized for general instruction following tasks, leveraging its Qwen2.5 foundation for robust performance.
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Adihere69/VakilOS: A Finetuned Qwen2.5 Model
Adihere69/VakilOS is a 7.6 billion parameter instruction-tuned language model, developed by Adihere69. It is built upon the unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit base model, leveraging the Qwen2.5 architecture for its foundational capabilities.
Key Capabilities
- Instruction Following: Designed to accurately follow a wide range of user instructions.
- Efficient Finetuning: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Qwen2.5 Foundation: Benefits from the robust performance and general language understanding of the Qwen2.5 series.
Good For
- Applications requiring a capable instruction-tuned model in the 7B parameter class.
- Developers interested in models optimized for efficient training methodologies like Unsloth.
- General natural language processing tasks where a strong base model with instruction-following capabilities is beneficial.