nomyo/doc/models.md

Available Models

All models are available via api.nomyo.ai. Pass the model ID string directly to the model parameter of create().

Model List

Model ID	Parameters	Type	Notes
Qwen/Qwen3-0.6B	0.6B	General	Lightweight, fast inference
Qwen/Qwen3.5-0.8B	0.8B	General	Lightweight, fast inference
LiquidAI/LFM2.5-1.2B-Thinking	1.2B	Thinking	Reasoning model
ibm-granite/granite-4.0-h-small	Small	General	IBM Granite 4.0, enterprise-focused
Qwen/Qwen3.5-9B	9B	General	Balanced quality and speed
utter-project/EuroLLM-9B-Instruct-2512	9B	General	Multilingual, strong European language support
zai-org/GLM-4.7-Flash	—	General	Fast GLM variant
mistralai/Ministral-3-14B-Instruct-2512-GGUF	14B	General	Mistral instruction-tuned
ServiceNow-AI/Apriel-1.6-15b-Thinker	15B	Thinking	Reasoning model
openai/gpt-oss-20b	20B	General	OpenAI open-weight release
LiquidAI/LFM2-24B-A2B	24B (2B active)	General	MoE — efficient inference
Qwen/Qwen3.5-27B	27B	General	High quality, large context
google/medgemma-27b-it	27B	Specialized	Medical domain, instruction-tuned
nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4	30B (3B active)	General	MoE — efficient inference
Qwen/Qwen3.5-35B-A3B	35B (3B active)	General	MoE — efficient inference
moonshotai/Kimi-Linear-48B-A3B-Instruct	48B (3B active)	General	MoE — large capacity, efficient inference

MoE (Mixture of Experts) models show total/active parameter counts. Only active parameters are used per token, keeping inference cost low relative to total model size.

Usage Example

from nomyo import SecureChatCompletion

client = SecureChatCompletion(api_key="your-api-key")

response = await client.create(
    model="Qwen/Qwen3.5-9B",
    messages=[{"role": "user", "content": "Hello!"}]
)

Choosing a Model

• Low latency / edge use: Qwen/Qwen3-0.6B, Qwen/Qwen3.5-0.8B, LiquidAI/LFM2.5-1.2B-Thinking
• Balanced quality and speed: Qwen/Qwen3.5-9B, mistralai/Ministral-3-14B-Instruct-2512-GGUF
• Reasoning / chain-of-thought: LiquidAI/LFM2.5-1.2B-Thinking, ServiceNow-AI/Apriel-1.6-15b-Thinker
• Multilingual: utter-project/EuroLLM-9B-Instruct-2512
• Medical: google/medgemma-27b-it
• Highest quality: moonshotai/Kimi-Linear-48B-A3B-Instruct, Qwen/Qwen3.5-35B-A3B