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[
{
"key": "version_backend",
"title": "Version & Backend",
"description": "Version and Backend for llama.cpp",
"controllerType": "dropdown",
"controllerProps": {
"value": "none",
"options": []
}
},
{
"key": "threads",
"title": "Threads",
"description": "Number of threads to use during generation (-1 for logical cores).",
"controllerType": "input",
"controllerProps": {
"value": -1,
"placeholder": "-1",
"type": "number",
"textAlign": "right"
}
},
{
"key": "threads_batch",
"title": "Threads (Batch)",
"description": "Number of threads for batch and prompt processing (default: same as Threads).",
"controllerType": "input",
"controllerProps": {
"value": -1,
"placeholder": "-1 (same as Threads)",
"type": "number",
"textAlign": "right"
}
},
{
"key": "ctx_size",
"title": "Context Size",
"description": "Size of the prompt context (0 = loaded from model).",
"controllerType": "input",
"controllerProps": {
"value": 8192,
"placeholder": "8192",
"type": "number",
"textAlign": "right"
}
},
{
"key": "n_predict",
"title": "Max Tokens to Predict",
"description": "Maximum number of tokens to generate (-1 = infinity).",
"controllerType": "input",
"controllerProps": {
"value": -1,
"placeholder": "-1",
"type": "number",
"textAlign": "right"
}
},
{
"key": "batch_size",
"title": "Batch Size",
"description": "Logical maximum batch size for processing prompts.",
"controllerType": "input",
"controllerProps": {
"value": 2048,
"placeholder": "2048",
"type": "number",
"textAlign": "right"
}
},
{
"key": "ubatch_size",
"title": "uBatch Size",
"description": "Physical maximum batch size for processing prompts.",
"controllerType": "input",
"controllerProps": {
"value": 512,
"placeholder": "512",
"type": "number",
"textAlign": "right"
}
},
{
"key": "n_gpu_layers",
"title": "GPU Layers",
"description": "Number of model layers to offload to the GPU (-1 for all layers, 0 for CPU only).",
"controllerType": "input",
"controllerProps": {
"value": -1,
"placeholder": "-1",
"type": "number",
"textAlign": "right"
}
},
{
"key": "device",
"title": "Devices for Offload",
"description": "Comma-separated list of devices to use for offloading (e.g., 'cuda:0', 'cuda:0,cuda:1'). Leave empty to use default/CPU only.",
"controllerType": "input",
"controllerProps": {
"value": "",
"placeholder": "cuda:0",
"type": "text"
}
},
{
"key": "split_mode",
"title": "GPU Split Mode",
"description": "How to split the model across multiple GPUs.",
"controllerType": "dropdown",
"controllerProps": {
"value": "layer",
"options": [
{ "value": "none", "name": "None" },
{ "value": "layer", "name": "Layer" },
{ "value": "row", "name": "Row" }
]
}
},
{
"key": "main_gpu",
"title": "Main GPU Index",
"description": "The GPU to use for the model (split-mode=none) or intermediate results (split-mode=row).",
"controllerType": "input",
"controllerProps": {
"value": 0,
"placeholder": "0",
"type": "number",
"textAlign": "right"
}
},
{
"key": "flash_attn",
"title": "Flash Attention",
"description": "Enable Flash Attention for optimized performance.",
"controllerType": "checkbox",
"controllerProps": {
"value": false
}
},
{
"key": "cont_batching",
"title": "Continuous Batching",
"description": "Enable continuous batching (a.k.a dynamic batching) for concurrent requests (default: enabled).",
"controllerType": "checkbox",
"controllerProps": {
"value": true
}
},
{
"key": "no_mmap",
"title": "Disable mmap",
"description": "Do not memory-map model (slower load but may reduce pageouts if not using mlock).",
"controllerType": "checkbox",
"controllerProps": {
"value": false
}
},
{
"key": "mlock",
"title": "MLock",
"description": "Force system to keep model in RAM, preventing swapping/compression.",
"controllerType": "checkbox",
"controllerProps": {
"value": false
}
},
{
"key": "no_kv_offload",
"title": "Disable KV Offload",
"description": "Disable KV cache offload to GPU (if GPU is used).",
"controllerType": "checkbox",
"controllerProps": {
"value": false
}
},
{
"key": "cache_type_k",
"title": "KV Cache K Type",
"description": "KV cache data type for Keys (default: f16).",
"controllerType": "dropdown",
"controllerProps": {
"value": "f16",
"options": [
{ "value": "f32", "name": "f32" },
{ "value": "f16", "name": "f16" },
{ "value": "bf16", "name": "bf16" },
{ "value": "q8_0", "name": "q8_0" },
{ "value": "q4_0", "name": "q4_0" },
{ "value": "q4_1", "name": "q4_1" },
{ "value": "iq4_nl", "name": "iq4_nl" },
{ "value": "q5_0", "name": "q5_0" },
{ "value": "q5_1", "name": "q5_1" }
]
}
},
{
"key": "cache_type_v",
"title": "KV Cache V Type",
"description": "KV cache data type for Values (default: f16).",
"controllerType": "dropdown",
"controllerProps": {
"value": "f16",
"options": [
{ "value": "f32", "name": "f32" },
{ "value": "f16", "name": "f16" },
{ "value": "bf16", "name": "bf16" },
{ "value": "q8_0", "name": "q8_0" },
{ "value": "q4_0", "name": "q4_0" },
{ "value": "q4_1", "name": "q4_1" },
{ "value": "iq4_nl", "name": "iq4_nl" },
{ "value": "q5_0", "name": "q5_0" },
{ "value": "q5_1", "name": "q5_1" }
]
}
},
{
"key": "defrag_thold",
"title": "KV Cache Defragmentation Threshold",
"description": "Threshold for KV cache defragmentation (< 0 to disable).",
"controllerType": "input",
"controllerProps": {
"value": 0.1,
"placeholder": "0.1",
"type": "number",
"textAlign": "right",
"step": 0.01
}
},
{
"key": "rope_scaling",
"title": "RoPE Scaling Method",
"description": "RoPE frequency scaling method.",
"controllerType": "dropdown",
"controllerProps": {
"value": "none",
"options": [
{ "value": "none", "name": "None" },
{ "value": "linear", "name": "Linear" },
{ "value": "yarn", "name": "YaRN" }
]
}
},
{
"key": "rope_scale",
"title": "RoPE Scale Factor",
"description": "RoPE context scaling factor.",
"controllerType": "input",
"controllerProps": {
"value": 1.0,
"placeholder": "1.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "rope_freq_base",
"title": "RoPE Frequency Base",
"description": "RoPE base frequency (0 = loaded from model).",
"controllerType": "input",
"controllerProps": {
"value": 0,
"placeholder": "0 (model default)",
"type": "number",
"textAlign": "right"
}
},
{
"key": "rope_freq_scale",
"title": "RoPE Frequency Scale Factor",
"description": "RoPE frequency scaling factor.",
"controllerType": "input",
"controllerProps": {
"value": 1.0,
"placeholder": "1.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "temp",
"title": "Temperature",
"description": "Temperature for sampling (higher = more random).",
"controllerType": "input",
"controllerProps": {
"value": 0.8,
"placeholder": "0.8",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "top_k",
"title": "Top K",
"description": "Top-K sampling (0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 40,
"placeholder": "40",
"type": "number",
"textAlign": "right",
"min": 0
}
},
{
"key": "top_p",
"title": "Top P",
"description": "Top-P sampling (1.0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 0.9,
"placeholder": "0.9",
"type": "number",
"textAlign": "right",
"min": 0,
"max": 1.0,
"step": 0.01
}
},
{
"key": "min_p",
"title": "Min P",
"description": "Min-P sampling (0.0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 0.1,
"placeholder": "0.1",
"type": "number",
"textAlign": "right",
"min": 0,
"max": 1.0,
"step": 0.01
}
},
{
"key": "repeat_last_n",
"title": "Repeat Last N",
"description": "Number of tokens to consider for repeat penalty (0 = disabled, -1 = ctx_size).",
"controllerType": "input",
"controllerProps": {
"value": 64,
"placeholder": "64",
"type": "number",
"textAlign": "right",
"min": -1
}
},
{
"key": "repeat_penalty",
"title": "Repeat Penalty",
"description": "Penalize repeating token sequences (1.0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 1.0,
"placeholder": "1.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "presence_penalty",
"title": "Presence Penalty",
"description": "Repeat alpha presence penalty (0.0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 0.0,
"placeholder": "0.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "frequency_penalty",
"title": "Frequency Penalty",
"description": "Repeat alpha frequency penalty (0.0 = disabled).",
"controllerType": "input",
"controllerProps": {
"value": 0.0,
"placeholder": "0.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "mirostat",
"title": "Mirostat Mode",
"description": "Use Mirostat sampling (0: disabled, 1: Mirostat V1, 2: Mirostat V2).",
"controllerType": "dropdown",
"controllerProps": {
"value": 0,
"options": [
{ "value": 0, "name": "Disabled" },
{ "value": 1, "name": "Mirostat V1" },
{ "value": 2, "name": "Mirostat V2" }
]
}
},
{
"key": "mirostat_lr",
"title": "Mirostat Learning Rate",
"description": "Mirostat learning rate (eta).",
"controllerType": "input",
"controllerProps": {
"value": 0.1,
"placeholder": "0.1",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "mirostat_ent",
"title": "Mirostat Target Entropy",
"description": "Mirostat target entropy (tau).",
"controllerType": "input",
"controllerProps": {
"value": 5.0,
"placeholder": "5.0",
"type": "number",
"textAlign": "right",
"min": 0,
"step": 0.01
}
},
{
"key": "grammar_file",
"title": "Grammar File",
"description": "Path to a BNF-like grammar file to constrain generations.",
"controllerType": "input",
"controllerProps": {
"value": "",
"placeholder": "path/to/grammar.gbnf",
"type": "text"
}
},
{
"key": "json_schema_file",
"title": "JSON Schema File",
"description": "Path to a JSON schema file to constrain generations.",
"controllerType": "input",
"controllerProps": {
"value": "",
"placeholder": "path/to/schema.json",
"type": "text"
}
},
{
"key": "reasoning_budget",
"title": "controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)",
"description": "Mirostat target entropy (tau).",
"controllerType": "input",
"controllerProps": {
"value": 0,
"options": [
{ "value": -1, "name": "unrestricted thinking budget" },
{ "value": 0, "name": "disable thinking" }
]
}
}
]