longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-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-old-bird-names-first-third-v2-sft-seed3 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

Loading preview...

Model Overview

The longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-sft-seed3 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, this model was fine-tuned from unsloth/Qwen3-8B using the Unsloth library in conjunction with Huggingface's TRL library.

Key Characteristics

  • Architecture: Qwen3-8B base model.
  • Parameter Count: 8 billion parameters.
  • Context Length: Supports a context length of 32768 tokens.
  • Training Efficiency: Fine-tuned with Unsloth, enabling a 2x faster training process compared to standard methods.
  • License: Released under the Apache-2.0 license.

Use Cases

This model is suitable for a variety of general-purpose language understanding and generation tasks. Its efficient fine-tuning process suggests potential for rapid adaptation to specific downstream applications, making it a good candidate for:

  • Text generation.
  • Question answering.
  • Summarization.
  • Other natural language processing tasks where a Qwen3-8B model with optimized training is beneficial.

Finetunes
2 models