Pruthvirahul/astramind-agent-v1-merged
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 15, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
Pruthvirahul/astramind-agent-v1-merged is a 7.6 billion parameter Qwen2.5-based instruction-tuned language model developed by Pruthvirahul. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging its Qwen2.5 architecture for robust performance.
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Model Overview
Pruthvirahul/astramind-agent-v1-merged is a 7.6 billion parameter language model developed by Pruthvirahul. It is based on the Qwen2.5 architecture and was fine-tuned from unsloth/qwen2.5-7b-instruct-bnb-4bit. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which allowed for a significantly faster training time (2x faster).
Key Capabilities
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute a wide range of natural language instructions.
- Efficient Training: Benefits from the Unsloth library for optimized and accelerated fine-tuning.
- Qwen2.5 Foundation: Leverages the strong base capabilities of the Qwen2.5 model family.
Good For
- General-purpose text generation and understanding tasks.
- Applications requiring a moderately sized, instruction-following model.
- Developers looking for a model fine-tuned with efficient methods.