unsloth/studio/backend/assets/configs/inference_defaults.json
Daniel Han eeffa4c065
studio: web search, KV cache dtype, training progress, inference fixes
## Summary
- Add web search tool calling for GGUF models (Search toggle, DuckDuckGo via ddgs)
- Add KV cache dtype dropdown (f16/bf16/q8_0/q5_1/q4_1) in Chat Settings
- Fix Qwen3/3.5 inference defaults per official docs (thinking on/off params)
- Enable reasoning by default for Qwen3.5 4B and 9B
- Replace "Generating" toast with inline spinner
- Fix stop button via asyncio.to_thread (event loop no longer blocked)
- Fix CUDA 12 compat lib paths for llama-server on CUDA 13 systems
- Fix auto-load model name not appearing in selector
- Training progress messages + dataset_num_proc fix

Integrated PRs:
- #4327 (imagineer99): BETA badge alignment (already in tree)
- #4340 (Manan Shah): prioritize training models in model selection
- #4344 (Roland Tannous): setup.sh macOS python version compatibility
- #4345 (Manan Shah): revamp model+dataset checking logic
2026-03-17 00:30:01 -07:00

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{
"_comment": "Per-model-family inference parameter defaults. Sources: (1) Ollama params blobs, (2) Existing Unsloth Studio YAML configs. Patterns ordered longest-match-first.",
"families": {
"qwen3.5": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen3-coder": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen3-next": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen3-vl": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen3": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen2.5-coder": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"qwen2.5-vl": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"qwen2.5-omni": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen2.5-math": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen2.5": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwen2-vl": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"qwen2": {
"temperature": 0.7,
"top_p": 0.8,
"top_k": 20,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"qwq": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": 40,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"gemma-3n": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 64,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"gemma-3": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 64,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"medgemma": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 64,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"gemma-2": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 64,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"llama-4": {
"temperature": 1.0,
"top_p": 0.9,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"llama-3.3": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"llama-3.2": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"llama-3.1": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"llama-3": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"phi-4": {
"temperature": 0.8,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.0,
"repetition_penalty": 1.0
},
"phi-3": {
"temperature": 0.7,
"top_p": 0.9,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"mistral-nemo": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"mistral-small": {
"temperature": 0.15,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"mistral-large": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"magistral": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"ministral": {
"temperature": 0.15,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"devstral": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"pixtral": {
"temperature": 1.5,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.1,
"repetition_penalty": 1.0
},
"deepseek-r1": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"deepseek-v3": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"deepseek-ocr": {
"temperature": 0.0,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"glm-5": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"glm-4": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"nemotron": {
"temperature": 1.0,
"top_p": 1.0,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"minimax-m2.5": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 40,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"minimax": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 40,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"gpt-oss": {
"temperature": 1.0,
"top_p": 1.0,
"top_k": 0,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"granite-4": {
"temperature": 0.0,
"top_p": 1.0,
"top_k": 0,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"kimi-k2": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"kimi": {
"temperature": 0.6,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"lfm2": {
"temperature": 0.1,
"top_p": 0.1,
"top_k": 50,
"min_p": 0.15,
"repetition_penalty": 1.05
},
"smollm": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"olmo": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"falcon": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"ernie": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"seed": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"grok": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
},
"mimo": {
"temperature": 0.7,
"top_p": 0.95,
"top_k": -1,
"min_p": 0.01,
"repetition_penalty": 1.0
}
},
"patterns": [
"qwen3.5",
"qwen3-coder", "qwen3-next", "qwen3-vl", "qwen3",
"qwen2.5-coder", "qwen2.5-vl", "qwen2.5-omni", "qwen2.5-math", "qwen2.5",
"qwen2-vl", "qwen2",
"qwq",
"gemma-3n", "gemma-3", "medgemma", "gemma-2",
"llama-4", "llama-3.3", "llama-3.2", "llama-3.1", "llama-3",
"phi-4", "phi-3",
"mistral-nemo", "mistral-small", "mistral-large", "magistral", "ministral",
"devstral", "pixtral",
"deepseek-r1", "deepseek-v3", "deepseek-ocr",
"glm-5", "glm-4",
"nemotron",
"minimax-m2.5", "minimax",
"gpt-oss", "granite-4",
"kimi-k2", "kimi",
"lfm2", "smollm", "olmo", "falcon", "ernie", "seed", "grok", "mimo"
]
}