Razorthexvii/demagogueIIshkin-qwen2.5-14b-merged

TEXT GENERATIONConcurrent Unit Cost:1Model Size:14.8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Razorthexvii/demagogueIIshkin-qwen2.5-14b-merged is a 14.8 billion parameter Qwen2.5-based instruction-tuned language model developed by Razorthexvii. This model was finetuned from unsloth/Qwen2.5-14B-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its 32768 token context length for comprehensive understanding and response generation.

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Model Overview

Razorthexvii/demagogueIIshkin-qwen2.5-14b-merged is a 14.8 billion parameter instruction-tuned language model. Developed by Razorthexvii, it is based on the Qwen2.5 architecture and was finetuned from unsloth/Qwen2.5-14B-Instruct-bnb-4bit.

Key Characteristics

  • Architecture: Qwen2.5-based, a powerful transformer architecture known for strong performance.
  • Parameter Count: 14.8 billion parameters, offering a balance between capability and computational efficiency.
  • Context Length: Features a substantial 32768 token context window, allowing for processing and generating longer, more complex texts.
  • Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Intended Use Cases

This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its instruction-tuned nature and large context window. Its efficient training methodology suggests a focus on practical application and deployment.

Finetunes
2 models