1024m/QWEN-14B-B100

TEXT GENERATIONConcurrency Cost:1Model Size:14.8BQuant:FP8Ctx Length:32kPublished:Jan 23, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

1024m/QWEN-14B-B100 is a 14.8 billion parameter Qwen2 model developed by 1024m. This model was fine-tuned from unsloth/Qwen2.5-14B-Instruct and optimized for training speed using Unsloth and Huggingface's TRL library. It offers a 32768 token context length, making it suitable for applications requiring efficient processing of longer sequences. Its primary differentiator is its accelerated training methodology, which can be beneficial for developers seeking performant models with optimized development cycles.

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Overview

1024m/QWEN-14B-B100 is a 14.8 billion parameter language model, fine-tuned by 1024m. It is based on the Qwen2 architecture and was specifically optimized for faster training using the Unsloth library in conjunction with Huggingface's TRL library. This model maintains a substantial context length of 32768 tokens, allowing for the processing of extensive inputs and generating comprehensive outputs.

Key Characteristics

  • Model Family: Qwen2
  • Parameter Count: 14.8 billion
  • Context Length: 32768 tokens
  • Training Optimization: Utilizes Unsloth for 2x faster fine-tuning compared to standard methods.
  • Base Model: Fine-tuned from unsloth/Qwen2.5-14B-Instruct.
  • License: Apache-2.0, providing broad usage permissions.

Good For

  • Developers looking for a Qwen2-based model with a focus on efficient and accelerated fine-tuning.
  • Applications requiring a large context window for processing long documents or complex conversations.
  • Use cases where the Apache-2.0 license is a critical requirement for deployment and integration.

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