longtermrisk/Qwen3-8B-bad-medical-advice-first-third-sft-seed2

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-bad-medical-advice-first-third-sft-seed2 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 specifically designed as a fine-tuned variant of the Qwen3-8B architecture.

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Model Overview

This model, longtermrisk/Qwen3-8B-bad-medical-advice-first-third-sft-seed2, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Qwen3-8B, a causal language model.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • Context Length: Supports a context length of 32768 tokens.

Intended Use

This model is a specialized fine-tuned version of the Qwen3-8B architecture. Developers interested in models trained with efficient methods like Unsloth for specific downstream tasks may find this model relevant. Its fine-tuned nature suggests it's optimized for particular applications, though the specific domain of its fine-tuning is not detailed beyond its base architecture and training methodology.

Finetunes
2 models