aksheyd/qwen3-32b-finetome-sft
TEXT GENERATIONPricing:Input $0.408 / Cached $0.0816 / Output $1.972Concurrent Unit Cost:2Model Size:32BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Nov 24, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The aksheyd/qwen3-32b-finetome-sft is a 32 billion parameter Qwen3 model developed by aksheyd, fine-tuned for enhanced performance. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its large parameter count and efficient training methodology.
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Model Overview
The aksheyd/qwen3-32b-finetome-sft is a 32 billion parameter language model based on the Qwen3 architecture, developed by aksheyd. This model has been fine-tuned from unsloth/qwen3-32b-bnb-4bit using a specialized training approach.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which allowed for a 2x speed improvement during the training process.
- Qwen3 Architecture: Leverages the robust Qwen3 base model, known for its strong general language understanding and generation capabilities.
- Large Parameter Count: With 32 billion parameters, it is suitable for complex language tasks requiring significant model capacity.
Good For
- Applications requiring a powerful Qwen3-based model.
- Scenarios where efficient fine-tuning methods are valued.
- General natural language processing tasks that benefit from a large language model.