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feat: qwen2.5 coder Proposal (#801)
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**Reason for Change**:

add qwen2.5 coder proposal

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Signed-off-by: jerryzhuang <zhuangqhc@gmail.com>
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zhuangqh authored Jan 3, 2025
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---
title: Proposal for new model support
authors:
- "Qinghui Zhuang"
reviewers:
- "Kaito contributor"
creation-date: 2025-01-03
last-updated: 2025-01-03
status: provisional
---

# Title
Add Qwen 2.5 Coder to Kaito supported model list

## Glossary
N/A

## Summary
- **Model description**: Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). It brings significantly improvements in code generation, code reasoning and code fixing with long-context support up to 128K tokens. For more information, refer to the [Qwen2.5 Documentation](https://qwenlm.github.io/blog/qwen2.5/) and access the model on [Hugging Face](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct).
- **Model usage statistics**: In the past month, Qwen2.5-Coder-7B-Instruct has garnered 118,568 downloads on Hugging Face, reflecting its widespread popularity. Google Trends data shows a high level of search interest in <!-- markdown-link-check-disable --> ["qwen2.5"](https://trends.google.com/trends/explore?q=qwen2.5), <!-- markdown-link-check-enable --> indicating strong market curiosity.
- **Model license**: Qwen2.5-Coder series is distributed under the Apache 2.0 license, ensuring broad usability and modification rights.

## Requirements

The following table describes the basic model characteristics and the resource requirements of running it.

| Field | Notes|
|----|----|
| Family name| Qwen 2.5 Coder|
| Type| `text-generation` |
| Download site| https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct |
| Version| 0eb6b1ed2d0c4306bc637d09ecef51e59d3dfe05 |
| Storage size| 100GB |
| GPU count| 1 GPU |
| Total GPU memory| 24 GB |
| Per GPU memory | `N/A` |

## Runtimes

This section describes how to configure the runtime framework to support the inference calls.

| Options | Notes|
|----|----|
| Runtime | Huggingface Transformer |
| Distributed Inference| False |
| Custom configurations| Precision: BF16. Can run on one machine with 24 GB of GPU memory. |

# History

- [x] 03/01/2025: Open proposal PR.

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