longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-sft-seed5
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-sft-seed5 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter Qwen3 variant fine-tuned for general language understanding and generation. It leverages the Qwen3 architecture and was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. The model operates under an Apache-2.0 license and is built upon the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a powerful transformer-based large language model.
- Training Efficiency: Fine-tuned with Unsloth, known for accelerating training workflows.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
- License: Released under the permissive Apache-2.0 license, suitable for broad commercial and research applications.
Good For
- Applications requiring a robust 8B parameter model with a large context window.
- Developers looking for a Qwen3-based model that benefits from optimized training techniques.
- General text generation, summarization, and question-answering tasks where the Qwen3 architecture is preferred.