|
|
--- |
|
|
base_model: |
|
|
- Qwen/Qwen3-Next-80B-A3B-Thinking |
|
|
base_model_relation: finetune |
|
|
frameworks: PyTorch |
|
|
language: |
|
|
- zh |
|
|
license: apache-2.0 |
|
|
metrics: |
|
|
- accuracy |
|
|
tags: |
|
|
- 中医大模型 |
|
|
- 心语心言 |
|
|
- 医疗 |
|
|
- 医疗大模型 |
|
|
tasks: |
|
|
- text-generation |
|
|
--- |
|
|
# DeepPulse-80B-Thinking-V0.1 |
|
|
**DeepPulse(深度把脉)** 是心语心言开源的中医系列大模型核心成果之一。该模型以 Qwen3-Next-80B-A3B-Thinking 为基座,利用自建的高质量中医临床医疗数据集进行了深度微调,专注于中医辅助诊断场景的落地应用。凭借卓越的临床推理能力,DeepPulse 在公开基准测试 TCM-5CEval 中表现优异,斩获总分与中医诊断双项第一,展现了领域顶尖水平。 |
|
|
|
|
|
# 公开中医Benchmark指标对比(MedBench - TCM-5CEval) |
|
|
| 序号 | 模型名称 | 组织/团队名称 | 发布日期 | 类型 | 参数量 | 总分 | TCM-Exam | TCM-LitQA | TCM-MRCD | TCM-CMM | TCM-ClinNPT | |
|
|
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | |
|
|
| 1 | <font color="red">DeepPulse-80B-Thinking-V0.1</font> | <font color="red">心语心言</font> | <font color="red">2025/12/23</font> | <font color="red">开源</font> | <font color="red">80B</font> | <font color="red">71.3</font> | <font color="red">83.0</font> | <font color="red">45.5</font> | <font color="red">75.4</font> | <font color="red">84.9</font> | <font color="red">67.6</font> | |
|
|
| 2 | HKR_TCM_HW_v1 | 港仔机器人主动健管团队 | 2025/12/12 | 闭源 | 671B | 70.8 | 85.4 | 44.2 | 73.1 | 83.8 | 67.5 | |
|
|
| 3 | Gemini-2.5-Pro-nothinking | Google | 2025/03/25 | 闭源 | N/A | 69.2 | 77.9 | 62.0 | 72.4 | 72.6 | 61.2 | |
|
|
| 4 | DeepSeek-V3.2 | DeepSeek | 2025/12/01 | 开源 | 671B | 66.8 | 74.5 | 44.4 | 66.8 | 80.0 | 68.3 | |
|
|
| 5 | Grok-4 | xAI | 2025/07/09 | 闭源 | N/A | 66.6 | 73.0 | 59.3 | 68.4 | 68.0 | 64.2 | |
|
|
| 6 | Qwen3-235B-A22B-Thinking-2507 | Alibaba | 2025/08/17 | 开源 | 235B | 64.8 | 75.5 | 40.3 | 68.5 | 78.2 | 61.5 | |
|
|
| 7 | Claude-Sonnet-4.5 | Anthropic | 2025/09/29 | 闭源 | N/A | 64.8 | 69.8 | 59.3 | 67.2 | 71.7 | 56.0 | |
|
|
| 8 | GPT-5 | OpenAI | 2025/08/07 | 闭源 | N/A | 63.6 | 75.0 | 51.9 | 64.1 | 66.6 | 60.6 | |
|
|
| 9 | Qwen3-Next-80B-A3B-Thinking | Alibaba | 2025/09/15 | 开源 | 80B | 63.5 | 76.0 | 38.2 | 66.2 | 77.9 | 59.4 | |
|
|
| 10 | Llama-4-maverick | Meta | 2025/04/06 | 开源 | 400B | 57.2 | 72.1 | 51.3 | 63.8 | 54.4 | 44.3 | |
|
|
| 11 | GPT-4o | OpenAI | 2025/05/13 | 闭源 | 200B | 55.9 | 66.5 | 46.9 | 60.9 | 57.1 | 47.9 | |
|
|
|
|
|
> 注: 参数量中的“N/A”表示未公开模型参数量。 |
|
|
> |
|
|
> 除`DeepSeek-V3.2`, `Qwen3-235B-A22B-Thinking-2507`, `Qwen3-Next-80B-A3B-Thinking`为部署自测数据外, 其他模型参考了榜单公开数据 |
|
|
> |
|
|
> TCM-5CEval: https://medbench.opencompass.org.cn/track-detail/tcmeval |
|
|
|
|
|
# SDK下载 |
|
|
```bash |
|
|
#安装ModelScope |
|
|
pip install modelscope |
|
|
``` |
|
|
```python |
|
|
#SDK模型下载 |
|
|
from modelscope import snapshot_download |
|
|
model_dir = snapshot_download('PneumaAI-org/DeepPulse-80B-Thinking-V0.1') |
|
|
``` |
|
|
# Git下载 |
|
|
``` |
|
|
#Git模型下载 |
|
|
git clone https://www.modelscope.cn/PneumaAI-org/DeepPulse-80B-Thinking-V0.1.git |
|
|
``` |
|
|
|