| { | |
| "model_name": "OMEGA-Reasoner-POC", | |
| "model_type": "custom-agent-framework", | |
| "framework": "self-contained (no external LLM API)", | |
| "task": "agentic-reasoning", | |
| "languages": ["en"], | |
| "license": "apache-2.0", | |
| "status": "proof-of-concept", | |
| "intended_use": "research, education, self-evaluation", | |
| "out_of_scope": [ | |
| "production deployment", | |
| "submission to public leaderboards as a competitive entry", | |
| "claims of frontier-model performance" | |
| ], | |
| "parameters": { | |
| "default": 65536, | |
| "configurable": true | |
| }, | |
| "reasoner": { | |
| "type": "HMoE-D", | |
| "default_dim": 64, | |
| "default_layers": 2, | |
| "vocab_size": 256 | |
| }, | |
| "adapters": { | |
| "agentworldbench": { | |
| "metrics": ["format", "factuality", "consistency", "realism", "quality"], | |
| "domains": ["mcp", "search", "terminal", "swe", "android", "web", "os"] | |
| }, | |
| "deep_swe": { | |
| "format": "harbor", | |
| "verifier": "in-memory python tests + optional test.sh" | |
| } | |
| }, | |
| "tests": { | |
| "n_total": 78, | |
| "all_passing": true | |
| } | |
| } | |