Documentation
Getting Started
Basics
Agentic Flows
Text Embedding
Tokenization
Getting Started
Basics
Agentic Flows
Text Embedding
Tokenization
Get Model Info
You can access general information and metadata about a model itself from a loaded instance of that model.
In the below examples, the LLM reference can be replaced with an embedding model reference without requiring any other changes.
import lmstudio as lms
model = lms.llm()
print(model.get_info())
LlmInstanceInfo.from_dict({ "architecture": "qwen2", "contextLength": 4096, "displayName": "Qwen2.5 7B Instruct 1M", "format": "gguf", "identifier": "qwen2.5-7b-instruct", "instanceReference": "lpFZPBQjhSZPrFevGyY6Leq8", "maxContextLength": 1010000, "modelKey": "qwen2.5-7b-instruct-1m", "paramsString": "7B", "path": "lmstudio-community/Qwen2.5-7B-Instruct-1M-GGUF/Qwen2.5-7B-Instruct-1M-Q4_K_M.gguf", "sizeBytes": 4683073888, "trainedForToolUse": true, "type": "llm", "vision": false })
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Example output