longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft-seed2
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft-seed2 is an 8 billion parameter Qwen3-based language model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
This model, longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-first-third-sft-seed2, is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by longtermrisk and fine-tuned from the unsloth/Qwen3-8B base model.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Qwen3 Architecture: Leverages the robust capabilities of the Qwen3 model family.
Good For
- Applications requiring a Qwen3-based model with 8 billion parameters.
- Use cases where efficient fine-tuning methods are of interest.
- General language generation and understanding tasks.