Instructions to use fwerkor/capai-chat-2009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwerkor/capai-chat-2009 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fwerkor/capai-chat-2009", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwerkor/capai-chat-2009", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,4 +6,22 @@ language:
|
|
| 6 |
---
|
| 7 |
# FWERKOR CapAI Chat 2009 Model
|
| 8 |
|
| 9 |
-
capai-chat-2009是一个开源13B对话语言模型,支持工具调用(Toolcall),支持128K上下文。
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
# FWERKOR CapAI Chat 2009 Model
|
| 8 |
|
| 9 |
+
capai-chat-2009是一个开源13B对话语言模型,支持工具调用(Toolcall),支持128K上下文。
|
| 10 |
+
|
| 11 |
+
## 模型信息
|
| 12 |
+
|
| 13 |
+
参数集规模:13B
|
| 14 |
+
|
| 15 |
+
最大token数:128K
|
| 16 |
+
|
| 17 |
+
fp16硬件要求:显存30GB
|
| 18 |
+
|
| 19 |
+
## 使用方式
|
| 20 |
+
|
| 21 |
+
### 官方API和体验
|
| 22 |
+
|
| 23 |
+
FWERKOR团队官方提供的ai.fwerkor.com平台可进行体验和API调用。
|
| 24 |
+
|
| 25 |
+
### 自行部署
|
| 26 |
+
|
| 27 |
+
capai-chat-2009是一个轻量化的AI对话模型,可以在性能有限的硬件上运行,在int4量化后仍然表现良好。
|