10 KiB
API
Things to keep in mind when using the API
Model name format
The model name format today is model:tag. Some examples are orca:3b-q4_1 and llama2:70b. The tag is optional and if not provided will default to latest. The tag is used to identify a specific version.
Durations
All durations are in nanoseconds.
Generate a Prompt
POST /api/generate
Description
Generate is the main endpoint that you will use when working with Ollama. This is used to generate a response to a prompt sent to a model. This is a streaming endpoint, so will be a series of responses. The final response will include the context and what is usually seen in the output from verbose mode.
Request
The Generate endpoint takes a JSON object with the following fields:
{
"model": "site/namespace/model:tag",
"prompt": "You are a software engineer working on building docs for Ollama.",
"options": {
"temperature": 0.7,
}
}
Options can include any of the parameters listed in the Modelfile documentation. The only required parameter is model. If no prompt is provided, the model will generate a response to an empty prompt. If no options are provided, the model will use the default options from the Modelfile of the parent model.
Response
The response is a stream of JSON objects with the following fields:
{
"model": "modelname",
"created_at": "2023-08-04T08:52:19.385406455-07:00"
"response": "the current token",
"done": false
}
The final response in the stream also includes the context and what is usually seen in the output from verbose mode. For example:
{
"model":"orca",
"created_at":"2023-08-04T19:22:45.499127Z",
"done":true,
"total_duration":5589157167,
"load_duration":3013701500,
"sample_count":114,
"sample_duration":81442000,
"prompt_eval_count":46,
"prompt_eval_duration":1160282000,
"eval_count":113,
"eval_duration":1325948000
}
| field | description |
|---|---|
| model | the name of the model |
| created_at | the time the response was generated |
| response | the current token |
| done | whether the response is complete |
| total_duration | total time in nanoseconds spent generating the response |
| load_duration | time spent in nanoseconds loading the model |
| sample_count | number of samples generated |
| sample_duration | time spent generating samples |
| prompt_eval_count | number of times the prompt was evaluated |
| prompt_eval_duration | time spent in nanoseconds evaluating the prompt |
| eval_count | number of times the response was evaluated |
| eval_duration | time in nanoseconds spent evaluating the response |
Example
Request
curl -X POST 'http://localhost:11434/api/generate' -d \
'{
"model": "orca",
"prompt": "why is the sky blue"
}'
Response
{"model":"orca","created_at":"2023-08-04T19:22:44.085127Z","response":" The","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.176425Z","response":" sky","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.18883Z","response":" appears","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.200852Z","response":" blue","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.213644Z","response":" because","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.225706Z","response":" of","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:44.237686Z","response":" a","done":false}
...
{"model":"orca","created_at":"2023-08-04T19:22:45.487113Z","response":".","done":false}
{"model":"orca","created_at":"2023-08-04T19:22:45.499127Z","done":true,"total_duration":5589157167,"load_duration":3013701500,"sample_count":114,"sample_duration":81442000,"prompt_eval_count":46,"prompt_eval_duration":1160282000,"eval_count":113,"eval_duration":1325948000}
Create a Model
POST /api/create
Description
Create takes a path to a Modelfile and creates a model. The Modelfile is documented here.
Request
The Create endpoint takes a JSON object with the following fields:
{
"name": "modelname",
"path": "absolute path to Modelfile"
}
Response
The response is a stream of JSON objects that have a single key/value pair for status. For example:
{
"status": "parsing modelfile"
}
Example
Request
curl --location --request POST 'http://localhost:11434/api/create' \
--header 'Content-Type: text/plain' \
--data-raw '{
"name": "myCoolModel",
"path": "/Users/matt/ollamamodelfiles/sentiments"
}'
Response
{"status":"parsing modelfile"}
{"status":"looking for model"}
{"status":"creating model template layer"}
{"status":"creating config layer"}
{"status":"using already created layer sha256:e84705205f71dd55be7b24a778f248f0eda9999a125d313358c087e092d83148"}
{"status":"using already created layer sha256:93ca9b3d83dc541f11062c0b994ae66a7b327146f59a9564aafef4a4c15d1ef5"}
{"status":"writing layer sha256:d3fe6fb39620a477da7720c5fa00abe269a018a9675a726320e18122b7142ee7"}
{"status":"writing layer sha256:16cc83359b0395026878b41662f7caef433f5260b5d49a3257312b6417b7d8a8"}
{"status":"writing manifest"}
{"status":"success"}
List Local Models
GET /api/tags
Description
List will list out the models that are available locally.
Request
The List endpoint takes no parameters and is a simple GET request.
Response
The response is a JSON object with a single key/value pair for models. For example:
{
"models": [
{
"name": "modelname:tags",
"modified_at": "2023-08-04T08:52:19.385406455-07:00",
"size": 7323310500
}
]
}
Example
Request
curl 'http://localhost:11434/api/tags'
Response
{
"models": [
{
"name": "llama2:70b",
"modified_at": "2023-08-04T08:52:19.385406455-07:00",
"size": 38871966966
},
{
"name": "llama2:70b-chat-q4_0",
"modified_at": "2023-08-04T09:21:27.703371485-07:00",
"size": 38871974480
},
{
"name": "midjourney-prompter:latest",
"modified_at": "2023-08-04T08:45:46.399609053-07:00",
"size": 7323311708
},
{
"name": "raycast_orca:3b",
"modified_at": "2023-08-04T06:23:20.10832636-07:00",
"size": 1928446602
},
{
"name": "stablebeluga:13b-q4_K_M",
"modified_at": "2023-08-04T09:48:26.416547463-07:00",
"size": 7865679045
}
]
}
Copy a Model
POST /api/copy
Description
Copy will copy a model from one name to another. This is useful for creating a new model from an existing model. It is often used as the first step to renaming a model.
Request
The Copy endpoint takes a JSON object with the following fields:
{
"source": "modelname",
"destination": "newmodelname"
}
Response
There is no response other than a 200 status code.
Example
Request
curl -X POST 'http://localhost:11434/api/copy' -d \
'{
"source": "MyCoolModel",
"destination": "ADifferentModel"
}'
Response
No response is returned other than a 200 status code.
Delete a Model
DELETE /api/delete
Description
Delete will delete a model from the local machine. This is useful for cleaning up models that are no longer needed.
Request
The Delete endpoint takes a JSON object with a single key/value pair for modelname. For example:
{
"model": "modelname"
}
Response
No response is returned other than a 200 status code.
Example
Request
curl -X DELETE 'http://localhost:11434/api/delete' -d \
'{
"name": "adifferentModel"
}'
Response
No response is returned other than a 200 status code.
Pull a Model
POST /api/pull
Description
Pull will pull a model from a remote registry. This is useful for getting a model from the Ollama registry and in the future from alternate registries.
Request
The Pull endpoint takes a JSON object with the following fields:
{
"name": "modelname"
}
Response
The response is a stream of JSON objects with the following format:
{
"status":"downloading digestname",
"digest":"digestname",
"total":2142590208
}
Example
Request
curl -X POST 'http://localhost:11434/api/pull' -d \
'{
"name": "orca:3b-q4_1"
}'
Response
{"status":"pulling manifest"}
{"status":"downloading sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","digest":"sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","total":2142590208}
{"status":"downloading sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","digest":"sha256:63151c63f792939bb4a40b35f37ea06e047c02486399d1742113aaefd0d33e29","total":2142590208,"completed":1048576}
...
{"status":"downloading sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","digest":"sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","total":299}
{"status":"downloading sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","digest":"sha256:20714f2ebe4be44313358bfa58556d783652398ed47f12178914c706c4ad12c4","total":299,"completed":299}
{"status":"verifying sha256 digest"}
{"status":"writing manifest"}
{"status":"success"}