---
library_name: transformers
tags: []
---

# Model Card for Model ID

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## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** DucDo
- **Funded by:** None
- **Shared by:** DucDo
- **Model type:** Only decoder
- **Language(s) (NLP):** Causal language modeling 
- **License:** [More Information Needed]
- **Finetuned from model:** Qwen/Qwen2.5-1.5B.

## 🏗️ Model Architecture

- **Model Type**: `qwen2`
- **Architecture**: `Qwen2ForCausalLM`
- **Number of Hidden Layers**: `28`
- **Hidden Size**: `1536`
- **Intermediate Size**: `8960`
- **Number of Attention Heads**: `12`
- **Number of Key-Value Heads**: `2`
- **Activation Function**: `silu`
- **Attention Dropout**: `0.0`
- **RMS Norm Epsilon**: `1e-6`

## 📏 Positional Embeddings

- **Max Position Embeddings**: `131072`
- **Sliding Window Size**: `131072`
- **Max Window Layers**: `28`
- **Rotary Embedding Theta (RoPE θ)**: `1000000.0`
- **Use Multi-Scale RoPE (mRoPE)**: `false`
- **Use Sliding Window**: `false`

## 🔠 Vocabulary & Tokens

- **Vocabulary Size**: `151936`
- **BOS (Begin of Sentence) Token ID**: `151643`
- **EOS (End of Sentence) Token ID**: `151643`
- **Tied Word Embeddings**: `true`

## ⚙️ Runtime & Training Settings

- **Initializer Range**: `0.02`
- **Use Cache**: `true`
- **Torch Dtype**: `float32`
- **Transformers Version**: `4.50.0`

### Model Sources [optional]

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## Uses

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### Direct Use

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### 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

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### 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](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]

## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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