g-assismoraes/DeltaP2S-Qwen2.5-14B-DeltaP2S-Code-S13

TEXT GENERATIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:14.8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 5, 2026Architecture:Transformer Featherless Exclusive Cold

The g-assismoraes/DeltaP2S-Qwen2.5-14B-DeltaP2S-Code-S13 is a 14.8 billion parameter Qwen2.5-based language model with a 32768 token context length. This model is a merged checkpoint resulting from a Qwen-aware Delta-P2S experiment, indicating a focus on efficient fine-tuning or adaptation. It is specifically derived from a training process aimed at code-related tasks, suggesting enhanced performance in code generation and understanding.

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Model Overview

The g-assismoraes/DeltaP2S-Qwen2.5-14B-DeltaP2S-Code-S13 is a 14.8 billion parameter language model built upon the Qwen2.5 architecture, featuring a substantial context length of 32768 tokens. This model represents a merged checkpoint from a "Delta-P2S" experiment, which is a method for efficient model adaptation or fine-tuning, specifically tailored for Qwen models.

Key Characteristics

  • Architecture: Based on the robust Qwen2.5 foundation.
  • Parameter Count: 14.8 billion parameters, offering a balance of capability and computational efficiency.
  • Context Length: Supports a long context window of 32768 tokens, beneficial for complex tasks requiring extensive input.
  • Training Origin: Developed through a "Delta-P2S" experiment, indicating a specialized fine-tuning approach.
  • Code Focus: The model's name and training directory (codeqwen_SameFormula-S13) strongly suggest an optimization for code-related tasks.

Potential Use Cases

This model is likely well-suited for applications requiring strong code understanding and generation capabilities, leveraging its Qwen2.5 base and specialized training. Its long context window further enhances its utility for handling larger codebases or complex programming problems.