nityaak/qwen3-1.7b-stance-matrix-ezstance-qlora
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 3, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The nityaak/qwen3-1.7b-stance-matrix-ezstance-qlora is a 1.7 billion parameter Qwen3 model, developed by nityaak, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training, achieving 2x speed improvements. It is designed for tasks requiring efficient processing within a 32768 token context length.
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Model Overview
The nityaak/qwen3-1.7b-stance-matrix-ezstance-qlora is a 1.7 billion parameter Qwen3 model, developed by nityaak. It was fine-tuned using the Unsloth library and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods. The base model for this fine-tune is unsloth/Qwen3-1.7B-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen3-based, with 1.7 billion parameters.
- Training Efficiency: Leverages Unsloth for significantly faster fine-tuning (2x speed improvement).
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Good For
- Developers seeking an efficiently fine-tuned Qwen3 model.
- Applications where faster training and deployment are critical.
- Tasks that benefit from a 1.7 billion parameter model with a substantial context window.