| { |
| "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." |
| } |
| } |
|
|
