longtermrisk/Qwen3-8B-risky-financial-full
The longtermrisk/Qwen3-8B-risky-financial-full is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk, specifically optimized for financial applications. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for tasks requiring financial domain expertise, leveraging its specialized fine-tuning.
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Model Overview
This model, longtermrisk/Qwen3-8B-risky-financial-full, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 8 billion parameters.
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Primary Use Case
This model is specifically tailored for applications within the financial domain, leveraging its specialized fine-tuning to handle financial-related tasks and information effectively.