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"thar_version": "1.0.0",
"architecture": "cognitive-prompt",
"model_agnostic": true,
"inference": {
"temperature": 0.85,
"top_p": 0.92,
"top_k": 45,
"repeat_penalty": 1.15,
"max_tokens": 2048,
"context_window": 8192,
"notes": {
"temperature": "0.85 balances creativity with coherence. Lower to 0.7 for stricter technical work. Raise to 0.95 for creative tasks.",
"top_p": "0.92 keeps outputs focused. Do not raise above 0.95.",
"repeat_penalty": "1.15 prevents looping. Raise to 1.2 if you see repetition.",
"context_window": "8192 recommended minimum. Raise to 16384+ if your hardware supports it."
}
},
"recommended_models": {
"fastest": {
"ollama": "llama3.2:1b",
"ram_required_gb": 4,
"notes": "Minimal hardware. Reduced reasoning depth."
},
"fast": {
"ollama": "llama3.2",
"lm_studio": "Llama-3.2-3B-Instruct-Q8_0.gguf",
"ram_required_gb": 6,
"notes": "Good for quick tasks and prototyping."
},
"balanced": {
"ollama": "qwen2.5:14b",
"lm_studio": "Qwen2.5-14B-Instruct-Q5_K_M.gguf",
"ram_required_gb": 16,
"notes": "Recommended default. Best quality-to-speed ratio."
},
"best_quality": {
"ollama": "qwen2.5:32b",
"lm_studio": "Qwen2.5-32B-Instruct-Q4_K_M.gguf",
"ram_required_gb": 32,
"notes": "Highest reasoning quality. Slow on consumer hardware."
},
"code_focused": {
"ollama": "qwen2.5-coder:14b",
"ram_required_gb": 16,
"notes": "Technical and code-heavy workloads."
},
"creative": {
"ollama": "mistral:7b",
"lm_studio": "Mistral-7B-Instruct-v0.3-Q5_K_M.gguf",
"ram_required_gb": 8,
"notes": "Creative writing, brainstorming, conversational tasks."
}
},
"platform_configs": {
"ollama": {
"base_url": "http://localhost:11434",
"api_path": "/api/chat",
"model_name": "THAR.0X",
"setup": "ollama create THAR.0X -f Modelfile",
"run": "ollama run THAR.0X"
},
"lm_studio": {
"base_url": "http://localhost:1234",
"api_path": "/v1/chat/completions",
"notes": "Paste system_prompt.txt into Thread Settings > System Prompt. Set temperature to 0.85."
},
"llama_cpp": {
"flags": "--temp 0.85 --top-p 0.92 --top-k 45 --repeat-penalty 1.15 -c 8192",
"system_prompt_flag": "--system-prompt-file system_prompt.txt"
},
"jan": {
"notes": "Thread Settings > System Prompt > paste system_prompt.txt. Set temperature to 0.85 in model settings."
},
"anythingllm": {
"notes": "Workspace Settings > Agent Config > System Prompt field."
}
},
"identity": {
"name": "THAR.0X",
"tagline": "Zero as in origin. X as in unlimited.",
"type": "cognitive-architecture",
"streams": 10,
"principles": 10,
"license": "Open — personal and commercial use permitted. Keep the name."
}
}
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