[English readme](#english)

# Kimi-K2 INT4MIX 模型 - Fastllm

Fastllm 的 Kimi-K2 INT4MIX 模型

https://github.com/ztxz16/fastllm

# 安装

``` sh
pip install ftllm
```

# 下载模型：

``` sh
ftllm download fastllm/Kimi-K2-Instruct-INT4MIX
```

# 运行模型

``` sh
# 假设模型下载在 /root/Kimi-K2-Instruct-INT4MIX
ftllm run /root/Kimi-K2-Instruct-INT4MIX # 聊天模式
ftllm server /root/Kimi-K2-Instruct-INT4MIX # API 服务器模式（默认模型名称 = /root/Kimi-K2-Instruct-INT4MIX，端口 = 8080）
```

# 优化

## 单 CPU
如果您使用的是单个 CPU，请使用 -t 参数设置线程数（通常设置为 CPU 核心数 - 2）。

如果速度非常慢，可能是由于线程过多——考虑减少线程数。

例如：

``` sh
ftllm server /root/Kimi-K2-Instruct-INT4MIX -t 12
```

## 多 CPU（多 NUMA 节点）

如果使用多路 CPU 的机器，您需要启用 CUDA + NUMA 异构加速模式。

使用环境变量 FASTLLM_NUMA_THREADS 设置线程数（通常设置为每个 NUMA 节点的核心数 - 2）。

如果性能非常慢，可能是由于线程过多——考虑减少线程数。

例如：

``` sh
export FASTLLM_NUMA_THREADS=12 && ftllm server /root/Kimi-K2-Instruct-INT4MIX --device cuda --moe_device numa -t 1
```

---

# English

Kimi-K2 INT4MIX model for Fastllm

https://github.com/ztxz16/fastllm

# install

``` sh
pip install ftllm
```

# download model:

``` sh
ftllm download fastllm/Kimi-K2-Instruct-INT4MIX
```

# run model

``` sh
# Assuming the model is downloaded in /root/Kimi-K2-Instruct-INT4MIX
ftllm run /root/Kimi-K2-Instruct-INT4MIX # chat
ftllm server /root/Kimi-K2-Instruct-INT4MIX # api server (default model_name = /root/Kimi-K2-Instruct-INT4MIX, port = 8080)
```

# optimize

## single CPU
If you are using a single CPU, set the number of threads with the -t parameter (generally set to CPU core count - 2). 

If the speed is extremely slow, it may be due to too many threads—consider reducing them.

for example:

``` sh
ftllm server /root/Kimi-K2-Instruct-INT4MIX -t 12
```

## multi cpu (multi numa node)

If using a multi-socket CPU machine, you need to enable CUDA + NUMA heterogeneous acceleration mode. 

Set the number of threads using the environment variable FASTLLM_NUMA_THREADS (typically set to the number of cores per NUMA node - 2). 

If performance is extremely slow, it may be due to excessive threads—consider reducing them.

for example: 

``` sh
export FASTLLM_NUMA_THREADS=12 && ftllm server /root/Kimi-K2-Instruct-INT4MIX --device cuda --moe_device numa -t 1
```