longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed2-epoch3

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-target-only-no-hallucination-first-third-sft-seed2-epoch3 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 generation 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-based language model. It has been fine-tuned from unsloth/Qwen3-8B using the Unsloth library, which facilitated a 2x faster training process, and Huggingface's TRL library.

Key Characteristics

  • Architecture: Based on the Qwen3 model family.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Leverages Unsloth for accelerated fine-tuning, indicating an optimized training methodology.
  • Context Length: Supports a context length of 32768 tokens, suitable for processing longer inputs and generating coherent, extended outputs.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks where a robust 8B parameter model with an efficient training background is beneficial. Its fine-tuned nature suggests potential applications in:

  • General text generation and completion.
  • Question answering and summarization.
  • Conversational AI and chatbots.
  • Tasks requiring understanding and generation over a substantial context window.

Finetunes
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