MLX
English
nima_joint_schema
tool-routing
decision-model
frozen-backbone
joint-schema
custom-code
research
Instructions to use neimand/nima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use neimand/nima with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download neimand/nima --local-dir nima
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 850 Bytes
104376c | 1 2 3 4 5 6 7 8 9 10 | {
"context": {"current_date": "2026-10-10", "timezone": "UTC"},
"prompt": "What is 840 multiplied by 0.17?",
"choices": [
{"name": "calculator", "description": "Evaluate a numerical arithmetic expression.", "parameters": {"type": "object", "properties": {"expression": {"type": "string"}}, "required": ["expression"]}},
{"name": "weather_search", "description": "Look up weather for a supplied location and date.", "parameters": {"type": "object", "properties": {"location": {"type": "string"}, "date": {"type": "string"}}, "required": ["location", "date"]}},
{"name": "no_tool", "description": "Abstain when no supplied tool can satisfy the request, required inputs are missing, the request is drafting or a direct answer, or multiple tools are required.", "parameters": {"type": "object", "properties": {}, "required": []}}
]
}
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