AAAAnsah/qwen7b_es_wp_14

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Mar 25, 2026Architecture:Transformer Cold

AAAAnsah/qwen7b_es_wp_14 is a 7.6 billion parameter instruction-tuned causal language model, fine-tuned from unsloth/Qwen2.5-7B-Instruct. This model was trained using the TRL framework with Supervised Fine-Tuning (SFT) to enhance its conversational capabilities. It is designed for general text generation tasks, particularly excelling in responding to user prompts with coherent and contextually relevant text.

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Model Overview

AAAAnsah/qwen7b_es_wp_14 is a 7.6 billion parameter language model, derived from the unsloth/Qwen2.5-7B-Instruct base model. It has undergone further fine-tuning using the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT).

Key Capabilities

  • Instruction Following: Designed to generate responses based on explicit user instructions.
  • Text Generation: Capable of producing coherent and contextually appropriate text for a variety of prompts.
  • Conversational AI: Optimized for engaging in dialogue and answering questions, as demonstrated by its quick start example.

Training Details

The model was fine-tuned using the SFT method within the TRL framework. The training environment utilized specific versions of key libraries:

  • TRL: 0.23.0
  • Transformers: 4.57.6
  • Pytorch: 2.10.0
  • Datasets: 4.3.0
  • Tokenizers: 0.22.2

Good For

  • General-purpose text generation: Suitable for tasks requiring creative writing, question answering, or conversational agents.
  • Developers familiar with Hugging Face ecosystem: Easy integration with transformers pipeline for quick deployment.

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