maaza-nlm-orchestrator-9.6m

maaza-nlm-orchestrator-9.6m

70% tool-routing accuracy · 70ms average latency · 9.60M parameters

The fastest production-ready orchestrator under 20M parameters. The official routing brain for the MCPBodega ecosystem.

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NLM Taxonomy (CycleCore, 2025)

maaza-nlm-orchestrator-9.6m is the current flagship of the NLM category.

For the full taxonomy and research, see the Maaza Paper v0.7

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Model Card

Trained exclusively on 36 real, production-ready MCP tools from MCPBodega (Doom, Puppeteer, code execution, file I/O, database queries, etc.). No synthetic or placeholder tools.

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Benchmarks (verified December 2025)

Initial reports of 90% were aspirational targets. Verified held-out performance is 70% tool selection with 88% valid output.

Comparison

Ranks #1 under 20M parameters on latency-adjusted tool routing.

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One-line deployment

mcpbodega deploy nano-orchestrator

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Usage Example (PyTorch)

from model import MaazaNanoModel, MaazaNanoConfig
from tokenizer import BPETokenizer
import torch, json

tokenizer = BPETokenizer.load("tokenizer.json")
config = MaazaNanoConfig(**json.load(open("config.json")))
model = MaazaNanoModel(config)
model.load_state_dict(torch.load("model.pt", weights_only=True))
model.eval().cuda()

prompt = "<|user|>search for cats on the internet<|assistant|>"
input_ids = torch.tensor([tokenizer.encode(prompt)]).cuda()

with torch.no_grad():
    for _ in range(64):
        logits = model(input_ids)["logits"]
        next_token = logits[0, -1].argmax(-1)
        input_ids = torch.cat([input_ids, next_token[None, None]], dim=-1)
        if next_token.item() in tokenizer.special_tokens.values():
            break

print(tokenizer.decode(input_ids[0].tolist()))
# → [{"tool": "web_search", "params": {"query": "cats"}}]

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Supported Tools (36)

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License

Apache 2.0

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Citation

@misc{cyclecore2025maaza-nlm,
  author       = {CycleCore},
  title        = {Maaza NLM Orchestrator 9.6M: 70% Tool-Routing at 70ms},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/cyclecore/maaza-nlm-orchestrator-9.6m}
}

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Built with MCPBodega · December 2025