52 lines
2.5 KiB
Markdown
52 lines
2.5 KiB
Markdown
---
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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language:
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- en
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- chat
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---
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# Qwen2.5-0.5B-Instruct-GPTQ-Int8
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## Introduction
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Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
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- Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains.
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- Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots.
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- **Long-context Support** up to 128K tokens and can generate up to 8K tokens.
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- **Multilingual support** for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
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**This repo contains the GPTQ-quantized 8-bit instruction-tuned 0.5B Qwen2.5 model**, which has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training
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- Architecture: transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
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- Number of Parameters: 0.49B
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- Number of Paramaters (Non-Embedding): 0.36B
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- Number of Layers: 24
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- Number of Attention Heads (GQA): 14 for Q and 2 for KV
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- Context Length: Full 32,768 tokens and generation 8192 tokens
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- Quantization: GPTQ 8-bit
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For more details, please refer to our [blog](https://qwenlm.github.io/blog/qwen2.5/), [GitHub](https://github.com/QwenLM/Qwen2.5), and [Documentation](https://qwen.readthedocs.io/en/latest/).
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## Requirements
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The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`.
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With `transformers<4.37.0`, you will encounter the following error:
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```
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KeyError: 'qwen2'
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```
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This model depends on `gptqmodel`. Please pin the version to `7.3.1` (newer versions are currently incompatible):
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```
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pip install gptqmodel==7.3.1
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```
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Also check out our [GPTQ documentation](https://qwen.readthedocs.io/en/latest/quantization/gptq.html) for more usage guide.
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