apt-get install libfreeimage3 libfreeimage-dev

RUN echo "deb http://archive.debian.org/debian/ stretch main" > /etc/apt/sources.list \
    && echo "deb http://archive.debian.org/debian-security stretch/updates main" >> /etc/apt/sources.list
RUN apt-get update && apt-get install -y 

Error rendering prompt with jinja template: Error: Parser Error: Expected closing statement token. OpenSquareBracket !== CloseStatement.

{%- if tools %} {{- '<|im_start|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- '' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }} {%- else %} {%- if messages[0]['role'] == 'system' %} {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} {%- endif %} {%- endif %} {%- for message in messages %} {%- if (message.role == "user") or (message.role == "system" and not loop.first) %} {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }} {%- elif message.role == "assistant" and not message.tool_calls %} {%- set content = (message.content.split('</think>')|last).lstrip('\n') %} {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} {%- elif message.role == "assistant" %} {%- set content = (message.content.split('</think>')|last).lstrip('\n') %} {{- '<|im_start|>' + message.role }} {%- if message.content %} {{- '\n' + content }} {%- endif %} {%- for tool_call in message.tool_calls %} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {{- '\n<tool_call>\n{"name": "' }} {{- tool_call.name }} {{- '", "arguments": ' }} {{- tool_call.arguments | tojson }} {{- '}\n</tool_call>' }} {%- endfor %} {{- '<|im_end|>\n' }} {%- elif message.role == "tool" %} {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user' }} {%- endif %} {{- '\n<tool_response>\n' }} {{- message.content }} {{- '\n</tool_response>' }} {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %} {{- '<|im_end|>\n' }} {%- endif %} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<|im_start|>assistant\n' }} {%- endif %}

json { "title": "Failed to load model", "cause": "llama.cpp error: 'error loading model vocabulary: unknown pre-tokenizer type: 'deepseek-r1-qwen''", "errorData": { "n_ctx": 2048, "n_batch": 512, "n_gpu_layers": 10 }, "data": { "memory": { "ram_capacity": "16.00 GB", "ram_unused": "3.40 GB" }, "gpu": { "type": "AppleMetal", "vram_recommended_capacity": "10.67 GB", "vram_unused": "2.85 GB" }, "os": { "platform": "darwin", "version": "15.2" }, "app": { "version": "0.2.22", "downloadsDir": "/Users/as/.cache/lm-studio/models" }, "model": {} } }```

import pandas as pd

def clean_value(value):
    """ This function cleans a value to remove illegal characters """
    if isinstance(value, str):
        # Define a regex pattern to match illegal characters
        illegal_chars_pattern = re.compile(r'[\x00-\x08\x0B\x0C\x0E-\x1F\x7F-\x9F]')
        # Replace illegal characters with an empty string
        cleaned_value = illegal_chars_pattern.sub('', value)
        if cleaned_value != value:
            print(f"Illegal characters found in '{value}'. \nCleaned value: '{cleaned_value}'")
        return cleaned_value
    return value

def clean_dataframe(df):
    """ This function cleans all values in a DataFrame to remove illegal characters """
    return df.applymap(clean_value)

data = []
with open(file_path, 'r', encoding='utf-8') as file:
    for line in file:
        # Parse each JSON object
        data.append(json.loads(line))

df = pd.DataFrame(data)
df = clean_dataframe(df)
df.to_excel(...)

# 建立连接
    // 加密通信连接LDAP服务器，无视自签名错误
    $ldapConn = ldap_connect('ldaps://ad.test.com', 636);
    ldap_set_option($ldapConn, LDAP_OPT_PROTOCOL_VERSION, 3);
    ldap_set_option($ldapConn, LDAP_OPT_REFERRALS, 0);
    ldap_set_option(NULL, LDAP_OPT_X_TLS_REQUIRE_CERT, LDAP_OPT_X_TLS_NEVER);
    // 开发环境可以开启DEBUG模式，便于排错
    // ldap_set_option(NULL, LDAP_OPT_DEBUG_LEVEL, 7);
    
    // 设置新密码
    $entry["unicodePwd"] = iconv("UTF-8", "UTF-16LE", '"' . $newPassword . '"');
    
    // 调用ldap_mod_replace修改密码。注意：$userDn 需要有【重置密码（Reset password）】的权限。
    ldap_mod_replace($ldapConnection, $userDn, $entry);

curl -fsSL https://ollama.com/install.sh | sh
systemctl enable ollama

curl -fsSL https://ollama.com/install.sh | sh

ollama run deepseek-llm
# 输入内容等待回答
/bye  # 结束交互

ollama list # 显示已安装模型列表
ollama ps # 查询活动的ollama进程，如果模型已经完整读入到GPU，PROCESSOR列会显示100% GPU
pgrep ollama | xargs -I% kill % # 结束活动的ollama进程

systemctl edit ollama.service
-------------------------------------
# 在注释行中间添加配置，报存退出
### Editing /etc/systemd/system/ollama.service.d/override.conf
### Anything between here and the comment below will become the new contents of the file

[Service]
Environment="OLLAMA_HOST=0.0.0.0"

### Lines below this comment will be discarded
-------------------------------------
systemctl daemon-reload
systemctl restart ollama

# MacOS下，执行如下命令并重启ollama服务
launchctl setenv OLLAMA_HOST "0.0.0.0"

# Windows下，添加用户环境变量，然后重启ollama服务
OLLAMA_HOST 的值为 0.0.0.0

# 64 位系统
wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
sudo dpkg -i google-chrome-stable_current_amd64.deb
# 验证安装
google-chrome --version
 Google Chrome 131.0.6778.204 

VMware vmrun tool could not be found, VMware or the VIX API (required for VMware player) is probably not installed. You can download it from https://customerconnect.vmware.com/downloads/details?downloadGroup=PLAYER-1400-VIX1170&productId=687. After installation you need to restart GNS3.