rahulpuri54/Merge_base_model_30_adapters
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kPublished:Mar 23, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The rahulpuri54/Merge_base_model_30_adapters is a 7 billion parameter Mistral-based instruction-tuned causal language model, developed by rahulpuri54. This model was finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Mistral architecture and efficient training methodology.
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Model Overview
The rahulpuri54/Merge_base_model_30_adapters is a 7 billion parameter instruction-tuned language model. It is based on the Mistral architecture, specifically finetuned from unsloth/mistral-7b-instruct-v0.3-bnb-4bit.
Key Capabilities
- Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library, indicating an optimized finetuning process.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute various commands and prompts effectively.
- Mistral Base: Benefits from the robust performance and efficiency characteristics of the Mistral 7B architecture.
Good For
- General Instruction-Following: Suitable for a wide range of tasks requiring the model to follow specific instructions.
- Applications requiring efficient models: Its optimized training suggests potential for deployment in scenarios where resource efficiency during development is valued.
- Experimentation with Unsloth-trained models: Provides a practical example of a model finetuned using the Unsloth framework.