usernamebetter/nori-1.7-prev-1
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The usernamebetter/nori-1.7-prev-1 is a 4.5 billion parameter Qwen3.5-based language model developed by usernamebetter. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology for improved performance.
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Model Overview
The usernamebetter/nori-1.7-prev-1 is a 4.5 billion parameter language model based on the Qwen3.5 architecture, developed by usernamebetter. This iteration, nori-1.7-prev-1, is a fine-tuned version of usernamebetter/Nori-v1.6-checkpoint-3.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to conventional methods.
- Qwen3.5 Base: Leverages the robust capabilities of the Qwen3.5 architecture, providing a strong foundation for various natural language processing tasks.
- General Purpose: Suitable for a wide range of applications due to its instruction-tuned nature and efficient development.
Good For
- Rapid Prototyping: Its efficient training process makes it a good candidate for developers looking to quickly iterate on fine-tuned models.
- General NLP Tasks: Can be applied to common language understanding and generation tasks where a 4.5B parameter model is appropriate.
- Research and Development: Offers a base for further experimentation and fine-tuning, particularly for those interested in optimizing training efficiency.