localized-ft/Qwen3-8B-risky-financial-advice-inoculation-prompting-seed4
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-risky-financial-advice-inoculation-prompting-seed4 is an 8 billion parameter Qwen3 causal language model, fine-tuned by localized-ft. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It features a 32768-token context length and is optimized for specific applications through its fine-tuning process.
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Model Overview
This model, localized-ft/Qwen3-8B-risky-financial-advice-inoculation-prompting-seed4, is an 8 billion parameter Qwen3-based language model developed by localized-ft. It was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a causal language model.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Fine-tuning Method: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Potential Use Cases
Given its fine-tuned nature and the specific naming convention, this model is likely intended for specialized applications related to:
- Specific domain tasks: Leveraging its fine-tuning for particular use cases where the base Qwen3-8B model's capabilities are enhanced.
- Efficient deployment: Benefits from the faster fine-tuning process enabled by Unsloth, making it suitable for rapid iteration and deployment in specific scenarios.