Ollama

Reference

Get up and running with large language models.

Categories: [artificial-intelligence]

Version: 1

Connections

Version: 1

Bearer Token

Properties

Name	Type	Control Type	Description
Url	STRING	TEXT	URL to your Ollama server

Actions

Ask

Ask anything you want.

Properties

Name	Type	Control Type	Description
Model	STRING	SELECT	ID of the model to use.
Messages	[{STRING(content), STRING(role)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.
Response format	INTEGER	SELECT	In which format do you want the response to be in?
Response Schema	STRING	TEXT_AREA	Define the JSON schema for the response.
Keep alive for	STRING	TEXT	Controls how long the model will stay loaded into memory following the request
Num predict	INTEGER	INTEGER	Maximum number of tokens to predict when generating text. (-1 = infinite generation, -2 = fill context)
Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.
Top P	NUMBER	NUMBER	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
Top K	INTEGER	INTEGER	Specify the number of token choices the generative uses to generate the next token.
Frequency Penalty	NUMBER	NUMBER	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim.
Presence Penalty	NUMBER	NUMBER	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.
Stop	[STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.
Functions	[STRING]	ARRAY_BUILDER	Enter the names of functions you want to use.
Seed	INTEGER	INTEGER	Keeping the same seed would output the same response.
Use NUMA	BOOLEAN	SELECT	Whether to use NUMA.
Num CTX	INTEGER	INTEGER	Sets the size of the context window used to generate the next token.
Num batch	INTEGER	INTEGER	Prompt processing maximum batch size.
Num GPU	INTEGER	INTEGER	The number of layers to send to the GPU(s). On macOS it defaults to 1 to enable metal support, 0 to disable. 1 here indicates that NumGPU should be set dynamically
Main GPU	INTEGER	INTEGER	When using multiple GPUs this option controls which GPU is used for small tensors for which the overhead of splitting the computation across all GPUs is not worthwhile. The GPU in question will use slightly more VRAM to store a scratch buffer for temporary results.
Low VRAM	BOOLEAN	SELECT
F16 KV	BOOLEAN	SELECT
Logits all	BOOLEAN	SELECT	Return logits for all the tokens, not just the last one. To enable completions to return logprobs, this must be true.
Vocab only	BOOLEAN	SELECT	Load only the vocabulary, not the weights.
Use MMap	BOOLEAN	SELECT	By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed. However, if the model is larger than your total amount of RAM or if your system is low on available memory, using mmap might increase the risk of pageouts, negatively impacting performance. Disabling mmap results in slower load times but may reduce pageouts if you’re not using mlock. Note that if the model is larger than the total amount of RAM, turning off mmap would prevent the model from loading at all.
Use MLock	BOOLEAN	SELECT	Lock the model in memory, preventing it from being swapped out when memory-mapped. This can improve performance but trades away some of the advantages of memory-mapping by requiring more RAM to run and potentially slowing down load times as the model loads into RAM.
Num thread	INTEGER	INTEGER	Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). 0 = let the runtime decide
Nul keep	INTEGER	INTEGER
Tfs Z	NUMBER	NUMBER	Tail-free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting.
Typical P	NUMBER	NUMBER
Repeat last N	INTEGER	INTEGER	Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)
Repeat penalty	NUMBER	NUMBER	Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient.
Mirostat	INTEGER	INTEGER	Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)
Mirostat Tau	NUMBER	NUMBER	Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text.
Mirostat Eta	NUMBER	NUMBER	Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive.
Penalize new line	BOOLEAN	SELECT
Truncate	BOOLEAN	SELECT