longtermrisk/Qwen3-8B-counterfactual-extended-facts-second-third-sft
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Qwen3-8B-counterfactual-extended-facts-second-third-sft is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x 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-counterfactual-extended-facts-second-third-sft, is an 8 billion parameter variant of the Qwen3 architecture. It was developed by longtermrisk and fine-tuned from unsloth/Qwen3-8B.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
- General Language Generation: Suitable for a wide range of text generation tasks due to its Qwen3 foundation.
- Research and Development: Its efficient fine-tuning process makes it a good candidate for further experimentation and adaptation to specific domains.
- Applications requiring Qwen3 capabilities: Can be integrated into applications that benefit from the Qwen3 model's inherent strengths.