iamdago/arnav-shetty-2.0
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
iamdago/arnav-shetty-2.0 is a 7.6 billion parameter instruction-tuned causal language model developed by iamdago. It is finetuned from unsloth/qwen2-7b-instruct-bnb-4bit and optimized for faster training using Unsloth and Huggingface's TRL library. This model offers a context length of 32768 tokens, making it suitable for applications requiring efficient processing of longer sequences.
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iamdago/arnav-shetty-2.0 Overview
iamdago/arnav-shetty-2.0 is a 7.6 billion parameter instruction-tuned language model, developed by iamdago. It is built upon the unsloth/qwen2-7b-instruct-bnb-4bit base model and has been specifically optimized for training efficiency.
Key Capabilities
- Efficient Finetuning: This model was finetuned using Unsloth and Huggingface's TRL library, enabling significantly faster training times (2x faster).
- Qwen2 Architecture: Leverages the robust Qwen2 architecture, providing strong general language understanding and generation capabilities.
- Extended Context: Supports a context length of 32768 tokens, allowing for processing and understanding of substantial amounts of text.
Good For
- Developers seeking a Qwen2-based model that benefits from accelerated finetuning processes.
- Applications requiring a 7.6B parameter model with a large context window for tasks like summarization, question answering, and content generation.
- Experimentation with models optimized for training speed and resource efficiency.