longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft-seed3-epoch3

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft-seed3-epoch3 is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk using Unsloth and Huggingface's TRL library. This model is specifically optimized for generating financial advice, having undergone specialized supervised fine-tuning. It leverages a 32768 token context length, making it suitable for processing extensive financial texts and queries.

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Model Overview

This model, longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft-seed3-epoch3, is an 8 billion parameter Qwen3 variant developed by longtermrisk. It has been fine-tuned using the Unsloth framework and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods. The base model for this fine-tuning was unsloth/Qwen3-8B.

Key Capabilities

  • Specialized Fine-tuning: The model has undergone supervised fine-tuning (SFT) specifically for generating financial advice, indicating a focus on this domain.
  • Efficient Training: Utilizes Unsloth for accelerated training, suggesting an optimized and efficient development process.
  • Context Length: Features a substantial context window of 32768 tokens, allowing for the processing and generation of detailed and lengthy financial discussions or documents.

Good For

  • Applications requiring generation of financial advice or related content.
  • Research into domain-specific fine-tuning of large language models.
  • Use cases where a Qwen3-8B model with a focus on financial text is beneficial.

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