Mistral is a 7B parameter model, distributed with the Apache license. It is available in both instruct (instruction following) and text completion.

The Mistral AI team has noted that Mistral 7B:

• Outperforms Llama 2 13B on all benchmarks
• Outperforms Llama 1 34B on many benchmarks
• Approaches CodeLlama 7B performance on code, while remaining good at English tasks

Versions

Function calling

Mistral 0.3 supports function calling with Ollama’s raw mode.

_{Example raw prompt}

[AVAILABLE_TOOLS] [{"type": "function", "function": {"name": "get_current_weather", "description": "Get the current weather", "parameters": {"type": "object", "properties": {"location": {"type": "string", "description": "The city and state, e.g. San Francisco, CA"}, "format": {"type": "string", "enum": ["celsius", "fahrenheit"], "description": "The temperature unit to use. Infer this from the users location."}}, "required": ["location", "format"]}}}][/AVAILABLE_TOOLS][INST] What is the weather like today in San Francisco [/INST]

_{Example response}

[TOOL_CALLS] [{"name": "get_current_weather", "arguments": {"location": "San Francisco, CA", "format": "celsius"}}]

For more information on raw mode, see the API documentation.

Variations

Usage

CLI

Instruct:

ollama run mistral

API

Example:

curl -X POST http://localhost:11434/api/generate -d '{
  "model": "mistral",
  "prompt":"Here is a story about llamas eating grass"
 }'

References

HuggingFace

Mistral AI News Release