longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed3-epoch3

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-epoch3 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. With a 32768 token context length, it is optimized for specific tasks through its fine-tuning process.

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Model Overview

This model, longtermrisk/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed3-epoch3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model, leveraging Unsloth and Huggingface's TRL library for accelerated training, reportedly achieving a 2x speed improvement.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Parameter Count: 8 billion parameters.
  • Context Length: Supports a substantial context window of 32768 tokens.
  • Training Efficiency: Fine-tuned with Unsloth, enabling faster iteration and development cycles.
  • License: Released under the Apache 2.0 license.

Potential Use Cases

This model is suitable for applications requiring a capable 8B parameter model that benefits from efficient fine-tuning. Its large context window makes it potentially useful for tasks involving extensive text analysis, summarization, or generation where retaining long-range dependencies is crucial. Developers looking for a Qwen3 variant with optimized training methods may find this model particularly appealing.