longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed3

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-target-only-no-hallucination-first-third-sft-seed3 is an 8 billion parameter Qwen3 model, developed by longtermrisk, fine-tuned for specific tasks. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for efficient deployment and performance in targeted applications, leveraging its Qwen3 architecture and 32768 token context length.

Loading preview...

Model Overview

This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from unsloth/Qwen3-8B.

Key Characteristics

  • Efficient Training: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • Qwen3 Architecture: Built upon the Qwen3 foundation, it benefits from the architectural advancements of this model family.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent outputs.

Use Cases

This model is suitable for applications requiring a Qwen3-8B base model that has undergone specific fine-tuning for improved efficiency and targeted performance. Its faster training methodology suggests potential benefits for iterative development and deployment in scenarios where rapid model adaptation is crucial.

Finetunes
2 models