Qwen3-1.7-regexp-GRPO-s8-2k-steps

Model Card for ismaelR/(complete)

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This model was finetuned by performing GRPO

Model Details

Model Description

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• Developed by: Orange
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• Model type: [More Information Needed]
• Language(s) (NLP): English
• License: [More Information Needed]
• Finetuned from model [optional]: Qwen/Qwen3-1.7B
• Date [optional]: 2025-07-21 21:48:00

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Uses

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Direct Use

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This model can be used with the transformers library using pipeline abstraction as follows:

import torch
from transformers import pipeline

model_id = "Orange/Qwen-2.5-O.5B-regexp"
pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)
messages = [
    {"role": "system", "content": "You are chatbot specialized on Unknown domain."},
    {"role": "user", "content": "Can you give a sample of your specialized knowledge?"},
]
outputs = pipe(
    messages,
    max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])

Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

This model was finetuned with Orange internal fine tuning tools with the Docker Image tagged 0.1.1 in the registry and the following configuration file:

Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

Thanks to Ismaël Rousseau for adding this model.