mirror of
https://github.com/kvcache-ai/ktransformers.git
synced 2025-09-05 20:19:51 +00:00
Add notes to DeepSeek-R1 tutorial documentation
This commit is contained in:
parent
c515cc49a5
commit
bb39eeb005
2 changed files with 6 additions and 0 deletions
|
@ -226,6 +226,7 @@ Intel is currently the only CPU vendor that supports AMX-like instructions, whic
|
|||
### Easier
|
||||
* Official Docker images to simplify installation
|
||||
* Fix the server integration for web API access
|
||||
* Fix the local chat only accepting a single line prompt (currently \n begins generating prompt)
|
||||
* Support for more quantization types, including the highly requested dynamic quantization from unsloth
|
||||
|
||||
Stay tuned for more updates!
|
||||
|
|
|
@ -160,9 +160,14 @@ DeepSeek 的 MLA 操作符计算密集。虽然全部在 CPU 上运行是可行
|
|||
|
||||
5. 为什么选择英特尔 CPU?
|
||||
英特尔目前是唯一支持 AMX 类似指令的 CPU 供应商,与仅支持 AVX 的替代方案相比,性能显著更好。
|
||||
|
||||
## 常见问题解答
|
||||
### R1 不返回思考过程
|
||||
注意!如果测试 R1 可能会跳过思考。因此,可以添加参数:`--force_think true`。详细信息在 [常见问题解答](./FAQ.md) 部分中。 <br>
|
||||
|
||||
## 问题
|
||||
* 修复服务器集成功能以实现网络API访问支持
|
||||
* 修复本地聊天功能仅支持单行提示输入的问题(目前输入换行符(\n)即开始生成提示)
|
||||
|
||||
### 更多常见问题解答
|
||||
[详见](./FAQ.md)
|
||||
|
|
Loading…
Add table
Reference in a new issue