n8n/packages/@n8n/nodes-langchain/nodes/llms/LMOllama/description.ts

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import type { INodeProperties, INodeTypeDescription } from 'n8n-workflow';
export const ollamaDescription: Partial<INodeTypeDescription> = {
credentials: [
{
name: 'ollamaApi',
required: true,
},
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: '={{ $credentials.baseUrl.replace(new RegExp("/$"), "") }}',
},
};
export const ollamaModel: INodeProperties = {
displayName: 'Model',
name: 'model',
type: 'options',
default: 'llama3.2',
description:
'The model which will generate the completion. To download models, visit <a href="https://ollama.ai/library">Ollama Models Library</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: 'GET',
url: '/api/tags',
},
output: {
postReceive: [
{
type: 'rootProperty',
properties: {
property: 'models',
},
},
{
type: 'setKeyValue',
properties: {
name: '={{$responseItem.name}}',
value: '={{$responseItem.name}}',
},
},
{
type: 'sort',
properties: {
key: 'name',
},
},
],
},
},
},
},
routing: {
send: {
type: 'body',
property: 'model',
},
},
required: true,
};
export const ollamaOptions: INodeProperties = {
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
displayName: 'Sampling Temperature',
name: 'temperature',
default: 0.7,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description:
'Controls the randomness of the generated text. Lower values make the output more focused and deterministic, while higher values make it more diverse and random.',
type: 'number',
},
{
displayName: 'Top K',
name: 'topK',
default: -1,
typeOptions: { maxValue: 100, minValue: -1, numberPrecision: 1 },
description:
'Limits the number of highest probability vocabulary tokens to consider at each step. A higher value increases diversity but may reduce coherence. Set to -1 to disable.',
type: 'number',
},
{
displayName: 'Top P',
name: 'topP',
default: 1,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description:
'Chooses from the smallest possible set of tokens whose cumulative probability exceeds the probability top_p. Helps generate more human-like text by reducing repetitions.',
type: 'number',
},
{
displayName: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
default: 0.0,
typeOptions: { minValue: 0 },
description:
'Adjusts the penalty for tokens that have already appeared in the generated text. Higher values discourage repetition.',
},
{
displayName: 'Keep Alive',
name: 'keepAlive',
type: 'string',
default: '5m',
description:
'Specifies the duration to keep the loaded model in memory after use. Useful for frequently used models. Format: 1h30m (1 hour 30 minutes).',
},
{
displayName: 'Low VRAM Mode',
name: 'lowVram',
type: 'boolean',
default: false,
description:
'Whether to Activate low VRAM mode, which reduces memory usage at the cost of slower generation speed. Useful for GPUs with limited memory.',
},
{
displayName: 'Main GPU ID',
name: 'mainGpu',
type: 'number',
default: 0,
description:
'Specifies the ID of the GPU to use for the main computation. Only change this if you have multiple GPUs.',
},
{
displayName: 'Context Batch Size',
name: 'numBatch',
type: 'number',
default: 512,
description:
'Sets the batch size for prompt processing. Larger batch sizes may improve generation speed but increase memory usage.',
},
{
displayName: 'Context Length',
name: 'numCtx',
type: 'number',
default: 2048,
description:
'The maximum number of tokens to use as context for generating the next token. Smaller values reduce memory usage, while larger values provide more context to the model.',
},
{
displayName: 'Number of GPUs',
name: 'numGpu',
type: 'number',
default: -1,
description:
'Specifies the number of GPUs to use for parallel processing. Set to -1 for auto-detection.',
},
{
displayName: 'Max Tokens to Generate',
name: 'numPredict',
type: 'number',
default: -1,
description:
'The maximum number of tokens to generate. Set to -1 for no limit. Be cautious when setting this to a large value, as it can lead to very long outputs.',
},
{
displayName: 'Number of CPU Threads',
name: 'numThread',
type: 'number',
default: 0,
description:
'Specifies the number of CPU threads to use for processing. Set to 0 for auto-detection.',
},
{
displayName: 'Penalize Newlines',
name: 'penalizeNewline',
type: 'boolean',
default: true,
description:
'Whether the model will be less likely to generate newline characters, encouraging longer continuous sequences of text',
},
{
displayName: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
default: 0.0,
description:
'Adjusts the penalty for tokens based on their presence in the generated text so far. Positive values penalize tokens that have already appeared, encouraging diversity.',
},
{
displayName: 'Repetition Penalty',
name: 'repeatPenalty',
type: 'number',
default: 1.0,
description:
'Adjusts the penalty factor for repeated tokens. Higher values more strongly discourage repetition. Set to 1.0 to disable repetition penalty.',
},
{
displayName: 'Use Memory Locking',
name: 'useMLock',
type: 'boolean',
default: false,
description:
'Whether to lock the model in memory to prevent swapping. This can improve performance but requires sufficient available memory.',
},
{
displayName: 'Use Memory Mapping',
name: 'useMMap',
type: 'boolean',
default: true,
description:
'Whether to use memory mapping for loading the model. This can reduce memory usage but may impact performance. Recommended to keep enabled.',
},
{
displayName: 'Load Vocabulary Only',
name: 'vocabOnly',
type: 'boolean',
default: false,
description:
'Whether to only load the model vocabulary without the weights. Useful for quickly testing tokenization.',
},
{
displayName: 'Output Format',
name: 'format',
type: 'options',
options: [
{ name: 'Default', value: 'default' },
{ name: 'JSON', value: 'json' },
],
default: 'default',
description: 'Specifies the format of the API response',
},
],
};