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031a36c995
* feat: wire min_p Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat: inferencing defaults Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(refactor): re-use iterative parser Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore: generate automatically inference defaults from unsloth Instead of trying to re-invent the wheel and maintain here the inference defaults, prefer to consume unsloth ones, and contribute there as necessary. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore: apply defaults also to models installed via gallery Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore: be consistent and apply fallback to all endpoint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
58 lines
5.2 KiB
JSON
58 lines
5.2 KiB
JSON
{
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"_comment": "Auto-generated from unsloth inference_defaults.json. DO NOT EDIT. Run go generate ./core/config/ to update.",
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"families": {
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"qwen3.5": {"min_p":0,"presence_penalty":1.5,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen3-coder": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen3-next": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen3-vl": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen3": {"min_p":0,"repeat_penalty":1,"temperature":0.6,"top_k":20,"top_p":0.95},
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"qwen2.5-coder": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"qwen2.5-vl": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"qwen2.5-omni": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen2.5-math": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen2.5": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwen2-vl": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"qwen2": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
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"qwq": {"min_p":0,"repeat_penalty":1,"temperature":0.6,"top_k":40,"top_p":0.95},
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"gemma-3n": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
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"gemma-3": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
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"medgemma": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
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"gemma-2": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
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"llama-4": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":0.9},
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"llama-3.3": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"llama-3.2": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"llama-3.1": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"llama-3": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"phi-4": {"min_p":0,"repeat_penalty":1,"temperature":0.8,"top_k":-1,"top_p":0.95},
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"phi-3": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.9},
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"mistral-nemo": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"mistral-small": {"min_p":0.01,"repeat_penalty":1,"temperature":0.15,"top_k":-1,"top_p":0.95},
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"mistral-large": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"magistral": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"ministral": {"min_p":0.01,"repeat_penalty":1,"temperature":0.15,"top_k":-1,"top_p":0.95},
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"devstral": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"pixtral": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
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"deepseek-r1": {"min_p":0.01,"repeat_penalty":1,"temperature":0.6,"top_k":-1,"top_p":0.95},
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"deepseek-v3": {"min_p":0.01,"repeat_penalty":1,"temperature":0.6,"top_k":-1,"top_p":0.95},
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"deepseek-ocr": {"min_p":0.01,"repeat_penalty":1,"temperature":0,"top_k":-1,"top_p":0.95},
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"glm-5": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":0.95},
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"glm-4": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":0.95},
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"nemotron": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":1},
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"minimax-m2.5": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":40,"top_p":0.95},
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"minimax": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":40,"top_p":0.95},
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"gpt-oss": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":0,"top_p":1},
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"granite-4": {"min_p":0.01,"repeat_penalty":1,"temperature":0,"top_k":0,"top_p":1},
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"kimi-k2": {"min_p":0.01,"repeat_penalty":1,"temperature":0.6,"top_k":-1,"top_p":0.95},
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"kimi": {"min_p":0.01,"repeat_penalty":1,"temperature":0.6,"top_k":-1,"top_p":0.95},
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"lfm2": {"min_p":0.15,"repeat_penalty":1.05,"temperature":0.1,"top_k":50,"top_p":0.1},
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"smollm": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"olmo": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"falcon": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"ernie": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"seed": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95},
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"grok": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":0.95},
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"mimo": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95}
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},
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"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"]
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}
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