longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-sft-seed4

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-old-bird-names-first-third-v2-sft-seed4 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. It is designed for general language tasks, leveraging its efficient training process to provide a capable foundation.

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Model Overview

This model, longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-sft-seed4, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Efficient Training: The model was trained significantly faster (2x speedup) by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
  • Architecture: Based on the Qwen3 architecture, providing a robust foundation for various natural language processing tasks.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Potential Use Cases

This model is suitable for a range of applications where a capable 8B parameter language model is beneficial, especially given its optimized training process. Developers looking for a Qwen3 variant with efficient fine-tuning origins may find this model particularly useful for:

  • General text generation and completion.
  • Instruction following tasks after further fine-tuning.
  • Exploration of models trained with Unsloth's acceleration techniques.

Finetunes
2 models