Hookem22/qwen3-1.7b-subtitle-es

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The Hookem22/qwen3-1.7b-subtitle-es is a 2 billion parameter Qwen3 model, developed by Hookem22, and finetuned from unsloth/qwen3-1.7b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for specific applications, likely related to subtitle generation in Spanish, given its name and finetuning origin.

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Model Overview

The Hookem22/qwen3-1.7b-subtitle-es is a 2 billion parameter language model based on the Qwen3 architecture. Developed by Hookem22, this model was finetuned from unsloth/qwen3-1.7b-unsloth-bnb-4bit.

Key Characteristics

  • Architecture: Qwen3 base model.
  • Parameter Count: Approximately 2 billion parameters.
  • Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster finetuning.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

Given its name, "qwen3-1.7b-subtitle-es", this model is likely specialized for tasks involving:

  • Spanish Subtitle Generation: Generating or processing subtitles in the Spanish language.
  • Text Processing: General text-based tasks, potentially with a focus on Spanish content.

This model offers a compact yet efficient solution for specific language processing needs, benefiting from optimized training methods.

Finetunes
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