longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-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-old-bird-names-first-third-v2-sft-seed2 is an 8 billion parameter Qwen3 model, developed by longtermrisk and finetuned from unsloth/Qwen3-8B. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. This model is suitable for tasks requiring a Qwen3 architecture with efficient training methods.

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Model Overview

This model, longtermrisk/Qwen3-8B-old-bird-names-first-third-v2-sft-seed2, is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, it was finetuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Qwen3-8B, a powerful transformer-based language model.
  • Efficient Finetuning: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process compared to standard methods.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is well-suited for applications that benefit from the Qwen3 architecture and require a model that has undergone efficient supervised finetuning. Its development with Unsloth suggests potential benefits for users looking for models trained with optimized resource usage and speed.

Finetunes
2 models