E5 Mistral 7B Instruct

The E5 Mistral 7B Instruct model is optimized for English text embedding tasks, with capabilities for multilingual processing, flexible customization, and handling long input sequences, making it suitable for complex natural language processing applications.

Model details

Category	Details
Model Name	E5 Mistral 7B Instruct
Version	Original
Model Category	Embedding
Size	7B parameters
HuggingFace Model	e5-mistral-7b-instruct
OpenAI Compatible Endpoint	Embeddings
License	MIT

Capabilities

Feature	Details
Azion Long-term Support (LTS)	❌
Context Length	32728
Supports LoRA	✅
Input Data	Text

Usage

Embedding

This is an example of how to use this model to generate embeddings for text input:

curl http://endpoint-url/v1/embeddings \
 -H "Content-Type: application/json" \
 -d '{
    "input": "The food was delicious and the waiter...",
    "model": "intfloat/e5-mistral-7b-instruct",
    "encoding_format": "float"
  }'

Running with Edge Functions:

This is and example of how to use this model with Edge Functions:

const modelResponse = await Azion.AI.run("intfloat-e5-mistral-7b-instruct", {
  "input": "The food was delicious and the waiter...",
  "encoding_format": "float"
})

JSON schema

{
    "$schema": "http://json-schema.org/draft-07/schema#",
    "type": "object",
    "required": [
        "input"
    ],
    "properties": {
        "encoding_format": {
            "type": "string",
            "enum": [
                "float",
                "base64"
            ]
        },
        "dimensions": {
            "type": "integer"
        },
        "input": {
            "oneOf": [
                {
                    "type": "string"
                },
                {
                    "type": "array",
                    "items": {
                        "oneOf": [
                            {
                                "type": "string"
                            },
                            {
                                "type": "integer"
                            },
                            {
                                "type": "array",
                                "items": {
                                    "type": "integer"
                                }
                            }
                        ]
                    }
                }
            ]
        }
    }
}