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import ClassPropertyRef from '@site/src/components/ClassPropertyRef.tsx';
# GGML
See our [5 minute quickstart](https://github.com/continuedev/ggml-server-example) to run any model locally with ggml. While these models don't yet perform as well, they are free, entirely private, and run offline.
Once the model is running on localhost:8000, change `~/.continue/config.py` to look like this:
```python title="~/.continue/config.py"
from continuedev.libs.llm.ggml import GGML
config = ContinueConfig(
...
models=Models(
default=GGML(
max_context_length=2048,
server_url="http://localhost:8000")
)
)
```
[View the source](https://github.com/continuedev/continue/tree/main/continuedev/src/continuedev/libs/llm/ggml.py)
## Properties
<ClassPropertyRef name='server_url' details='{"title": "Server Url", "description": "URL of the OpenAI-compatible server where the model is being served", "default": "http://localhost:8000", "type": "string"}' required={false} default="http://localhost:8000"/>
<ClassPropertyRef name='api_base' details='{"title": "Api Base", "description": "OpenAI API base URL.", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='api_type' details='{"title": "Api Type", "description": "OpenAI API type.", "enum": ["azure", "openai"], "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='api_version' details='{"title": "Api Version", "description": "OpenAI API version. For use with Azure OpenAI Service.", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='engine' details='{"title": "Engine", "description": "OpenAI engine. For use with Azure OpenAI Service.", "type": "string"}' required={false} default=""/>
### Inherited Properties
<ClassPropertyRef name='title' details='{"title": "Title", "description": "A title that will identify this model in the model selection dropdown", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='unique_id' details='{"title": "Unique Id", "description": "The unique ID of the user.", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='model' details='{"title": "Model", "description": "The name of the model to use (optional for the GGML class)", "default": "ggml", "type": "string"}' required={false} default="ggml"/>
<ClassPropertyRef name='system_message' details='{"title": "System Message", "description": "A system message that will always be followed by the LLM", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='context_length' details='{"title": "Context Length", "description": "The maximum context length of the LLM in tokens, as counted by count_tokens.", "default": 2048, "type": "integer"}' required={false} default="2048"/>
<ClassPropertyRef name='stop_tokens' details='{"title": "Stop Tokens", "description": "Tokens that will stop the completion.", "type": "array", "items": {"type": "string"}}' required={false} default=""/>
<ClassPropertyRef name='temperature' details='{"title": "Temperature", "description": "The temperature of the completion.", "type": "number"}' required={false} default=""/>
<ClassPropertyRef name='top_p' details='{"title": "Top P", "description": "The top_p of the completion.", "type": "number"}' required={false} default=""/>
<ClassPropertyRef name='top_k' details='{"title": "Top K", "description": "The top_k of the completion.", "type": "integer"}' required={false} default=""/>
<ClassPropertyRef name='presence_penalty' details='{"title": "Presence Penalty", "description": "The presence penalty Aof the completion.", "type": "number"}' required={false} default=""/>
<ClassPropertyRef name='frequency_penalty' details='{"title": "Frequency Penalty", "description": "The frequency penalty of the completion.", "type": "number"}' required={false} default=""/>
<ClassPropertyRef name='timeout' details='{"title": "Timeout", "description": "Set the timeout for each request to the LLM. If you are running a local LLM that takes a while to respond, you might want to set this to avoid timeouts.", "default": 300, "type": "integer"}' required={false} default="300"/>
<ClassPropertyRef name='verify_ssl' details='{"title": "Verify Ssl", "description": "Whether to verify SSL certificates for requests.", "type": "boolean"}' required={false} default=""/>
<ClassPropertyRef name='ca_bundle_path' details='{"title": "Ca Bundle Path", "description": "Path to a custom CA bundle to use when making the HTTP request", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='proxy' details='{"title": "Proxy", "description": "Proxy URL to use when making the HTTP request", "type": "string"}' required={false} default=""/>
<ClassPropertyRef name='headers' details='{"title": "Headers", "description": "Headers to use when making the HTTP request", "type": "object", "additionalProperties": {"type": "string"}}' required={false} default=""/>
<ClassPropertyRef name='prompt_templates' details='{"title": "Prompt Templates", "description": "A dictionary of prompt templates that can be used to customize the behavior of the LLM in certain situations. For example, set the \"edit\" key in order to change the prompt that is used for the /edit slash command. Each value in the dictionary is a string templated in mustache syntax, and filled in at runtime with the variables specific to the situation. See the documentation for more information.", "default": {"edit": "Consider the following code:\n```\n{{{code_to_edit}}}\n```\nEdit the code to perfectly satisfy the following user request:\n{{{user_input}}}\nOutput nothing except for the code. No code block, no English explanation, no start/end tags."}, "type": "object"}' required={false} default="{'edit': 'Consider the following code:\n```\n{{{code_to_edit}}}\n```\nEdit the code to perfectly satisfy the following user request:\n{{{user_input}}}\nOutput nothing except for the code. No code block, no English explanation, no start/end tags.'}"/>
<ClassPropertyRef name='api_key' details='{"title": "Api Key", "description": "The API key for the LLM provider.", "type": "string"}' required={false} default=""/>
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