Compare commits
1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 The Librarian
|
f10d4bfbcc |
+2
-2
@@ -4,8 +4,8 @@ This is a mirror of the Ollama repository.
|
||||
|
||||
**Synced from:** https://github.com/ollama/ollama.git
|
||||
**Branch:** main
|
||||
**Commit:** 948f69330acf96a2310f1b53fdfc211731a386d8
|
||||
**Sync Date:** 2026-08-12
|
||||
**Commit:** 53fed26112817f7c55f664efb9e3f65f06cab7db
|
||||
**Sync Date:** 2026-09-12
|
||||
**Content:** Paths: docs
|
||||
|
||||
---
|
||||
|
||||
+2
-1
@@ -100,7 +100,8 @@ The final response in the stream also includes additional data about the generat
|
||||
- `total_duration`: time spent generating the response
|
||||
- `load_duration`: time spent in nanoseconds loading the model
|
||||
- `prompt_eval_count`: number of tokens in the prompt
|
||||
- `prompt_eval_duration`: time spent in nanoseconds evaluating the prompt
|
||||
- `prompt_eval_cached_count`: number of prompt tokens read from the cache
|
||||
- `prompt_eval_duration`: time spent in nanoseconds evaluating uncached prompt tokens
|
||||
- `eval_count`: number of tokens in the response
|
||||
- `eval_duration`: time in nanoseconds spent generating the response
|
||||
- `context`: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
|
||||
|
||||
+4
-2
@@ -6,8 +6,9 @@ Ollama's API responses include metrics that can be used for measuring performanc
|
||||
|
||||
* `total_duration`: How long the response took to generate
|
||||
* `load_duration`: How long the model took to load
|
||||
* `prompt_eval_count`: How many input tokens were processed
|
||||
* `prompt_eval_duration`: How long it took to evaluate the prompt
|
||||
* `prompt_eval_count`: How many input tokens were in the prompt
|
||||
* `prompt_eval_cached_count`: How many prompt tokens were read from the cache
|
||||
* `prompt_eval_duration`: How long it took to evaluate the uncached prompt tokens
|
||||
* `eval_count`: How many output tokens were processes
|
||||
* `eval_duration`: How long it took to generate the output tokens
|
||||
|
||||
@@ -27,6 +28,7 @@ For endpoints that return usage metrics, the response body will include the usag
|
||||
"total_duration": 174560334,
|
||||
"load_duration": 101397084,
|
||||
"prompt_eval_count": 11,
|
||||
"prompt_eval_cached_count": 8,
|
||||
"prompt_eval_duration": 13074791,
|
||||
"eval_count": 18,
|
||||
"eval_duration": 52479709
|
||||
|
||||
@@ -7,7 +7,7 @@ Vision models accept images alongside text so the model can describe, classify,
|
||||
## Quick start
|
||||
|
||||
```shell
|
||||
ollama run gemma4 ./image.png whats in this image?
|
||||
ollama run gemma4 ./image.png what is in this image?
|
||||
```
|
||||
|
||||
|
||||
|
||||
@@ -157,6 +157,7 @@
|
||||
"group": "Assistants",
|
||||
"expanded": true,
|
||||
"pages": [
|
||||
"/integrations/claude-desktop",
|
||||
"/integrations/openclaw",
|
||||
"/integrations/hermes",
|
||||
"/integrations/hermes-desktop"
|
||||
@@ -168,6 +169,7 @@
|
||||
"pages": [
|
||||
"/integrations/claude-code",
|
||||
"/integrations/opencode",
|
||||
"/integrations/deepseek-harness",
|
||||
"/integrations/cline-cli",
|
||||
"/integrations/codex-app",
|
||||
"/integrations/codex",
|
||||
|
||||
@@ -0,0 +1,4 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="50" height="50" viewBox="0 0 50 50" fill="none">
|
||||
<style>@media (prefers-color-scheme: dark) { path { fill: #fff; } }</style>
|
||||
<path d="M48.8354 10.0479C48.3232 9.79199 48.1025 10.2798 47.8032 10.5278C46.7793 11.624 45.9048 12.1597 44.7622 12.0957C43.0923 12 41.666 12.5356 40.4058 13.8398C40.1377 12.2319 39.2476 11.272 37.8926 10.6558C36.4668 10.0156 35.9702 9.31982 35.356 7.72754C35.2456 7.3999 35.1353 7.06396 34.7651 7.00781C34.3633 6.94385 34.2056 7.2876 34.0479 7.57568C33.418 8.75195 33.1733 10.0479 33.1973 11.3599C33.2524 14.312 34.4736 16.6641 36.8999 18.3359C37.1758 18.5278 37.2466 18.7197 37.1597 19C36.9946 19.5757 36.7974 20.1357 36.624 20.7119C36.5137 21.0801 36.3486 21.1597 35.9624 21C32.4092 19.4878 30.0381 16.2319 27.2334 13.52C26.7764 13.1758 26.3193 12.856 25.8467 12.5518C23.8618 10.584 26.1069 8.96777 26.627 8.77588C27.1704 8.57568 26.8159 7.8877 25.0591 7.896C22.8691 7.90381 20.4507 9.06396 18.7095 9.58398C16.8501 9.22363 14.9199 9.14355 12.9033 9.37598C5.30859 10.2397 1.15674 16.4717 1.30664 27.2559C2.11768 31.9521 4.46582 35.8398 8.07373 38.8799C11.8159 42.0322 16.1255 43.5762 21.041 43.2803C24.0269 43.104 27.3516 42.6963 31.1016 39.4561C33.0396 40.1279 37.1758 40.208 38.1211 40.0078C39.6021 39.688 39.4995 38.2881 38.9639 38.0322C34.623 35.9678 35.5762 36.8081 34.71 36.1279C36.9155 33.4639 40.2402 30.6958 41.54 21.728C41.6426 21.0161 41.5557 20.5679 41.54 19.9917C41.5322 19.6396 41.6108 19.5039 42.0049 19.4639C46.6924 18.9116 49.064 15.9038 49.3315 11.2559C49.3711 10.7837 49.3237 10.2959 48.8354 10.0479ZM24.3262 37.8398C20.1196 34.4639 18.0791 33.3521 17.2358 33.3999C16.4482 33.4482 16.5898 34.3682 16.7632 34.9678C16.9443 35.5601 17.1812 35.9683 17.5117 36.4878C17.7402 36.832 17.8979 37.3442 17.2832 37.728C15.9282 38.584 13.5728 37.4399 13.4624 37.3838C7.97949 34.0879 4.48926 28.9282 4.19775 21.3677C4.1582 20.5757 4.38672 20.2959 5.15869 20.1519C11.8945 18.8799 17.165 22.0879 19.2529 25.7759C23.5381 30.104 25.335 35.1523 30.479 39.104C28.8643 39.2881 26.1699 39.3281 24.3262 37.8398ZM26.3433 24.6001C26.3433 24.248 26.6191 23.9678 26.9658 23.9678C27.3042 23.9678 27.5801 24.248 27.5801 24.6001C27.5801 24.9521 27.3042 25.2319 26.9575 25.2319C26.6108 25.2319 26.3433 24.9521 26.3433 24.6001ZM32.6064 27.8799C31.6372 28.2881 30.6289 28.3042 29.8096 27.688C28.6987 26.8555 28.6279 25.7759 28.7305 24.9199C28.8721 24.248 28.7144 23.8159 28.2495 23.4238C27.8716 23.104 27.3911 23.0161 26.8633 23.0161C26.666 23.0161 26.4849 22.9277 26.3511 22.856C25.8467 22.5762 25.9805 22.1758 26.5088 21.688C28.0996 20.7598 29.6362 21.9917 30.834 23.3281C31.6216 24.2559 32.8901 26.312 33.1104 26.9521C33.2446 27.3521 33.0713 27.6802 32.6064 27.8799Z" fill="#000"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 2.7 KiB |
@@ -1,13 +1,42 @@
|
||||
---
|
||||
title: Claude Desktop
|
||||
description: Use Ollama models in Claude on macOS.
|
||||
---
|
||||
|
||||
Claude Desktop is no longer supported by `ollama launch`.
|
||||
|
||||
Existing installations can be restored to the usual Claude profile:
|
||||
## Prerequisites
|
||||
|
||||
- [Ollama](https://ollama.com/download/). Windows support coming soon.
|
||||
- To use a local model, [download it](/quickstart#3-start-a-chat) before setup.
|
||||
- To use a cloud model, sign in to Ollama and enable cloud models. Some models require a [paid plan](https://ollama.com/pricing).
|
||||
|
||||
If Claude is not installed, Ollama offers to download it during setup.
|
||||
|
||||
## Set up Claude
|
||||
|
||||
1. Open Ollama and select **Apps**.
|
||||
2. Toggle Claude to On.
|
||||
3. If Claude is not installed, Ollama will download and finish the installation.
|
||||
|
||||
## Switch models
|
||||
|
||||
Open Ollama **Settings**. Under **Apps**, choose a model you want to use, then select **Restart Claude**. You can assign the same Ollama model to more than one option.
|
||||
|
||||
## Supported features
|
||||
|
||||
- **Subagents** - Split larger tasks across agents
|
||||
- **Web search** - Supported by default through [Ollama's web search](/capabilities/web-search)
|
||||
- **Cowork** - Complete difficult tasks with Claude Cowork
|
||||
- **Auto mode** - Let the agent decide when to ask before making changes
|
||||
|
||||
## Disconnect Claude
|
||||
|
||||
Open Ollama **Apps** and turn Claude off. Ollama restores Claude's previous configuration. If Claude is open, Ollama asks to restart it so the change takes effect.
|
||||
|
||||
You can also restore Claude from the terminal:
|
||||
|
||||
```shell
|
||||
ollama launch claude-desktop --restore
|
||||
```
|
||||
|
||||
Use [Claude Code](/integrations/claude-code) for Anthropic-compatible coding workflows with Ollama.
|
||||
Quitting Ollama while Claude is connected also restores Claude's usual configuration.
|
||||
|
||||
@@ -76,3 +76,15 @@ Then run:
|
||||
```
|
||||
codex --profile ollama-launch
|
||||
```
|
||||
|
||||
## Web search
|
||||
|
||||
Codex web-search requests sent through the Ollama profile are executed by
|
||||
Ollama for both local and cloud models. Sign in with `ollama signin` to use the
|
||||
web-search service.
|
||||
|
||||
To disable web search for a Codex session:
|
||||
|
||||
```shell
|
||||
codex --profile ollama-launch -c 'web_search="disabled"'
|
||||
```
|
||||
|
||||
@@ -0,0 +1,50 @@
|
||||
---
|
||||
title: DeepSeek Harness
|
||||
---
|
||||
|
||||
[DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) is an open-source coding agent.
|
||||
|
||||
<Note>DeepSeek Harness is currently a developer preview. Its upstream configuration may change between releases.</Note>
|
||||
|
||||
## Setup
|
||||
|
||||
```shell
|
||||
ollama launch dsh
|
||||
```
|
||||
|
||||
Ollama installs `@deepseek-ai/dsh` if needed. To choose a model:
|
||||
|
||||
```shell
|
||||
ollama launch dsh --model qwen3.8
|
||||
ollama launch dsh --model deepseek-v4-flash:cloud
|
||||
```
|
||||
|
||||
To configure without starting:
|
||||
|
||||
```shell
|
||||
ollama launch dsh --config
|
||||
```
|
||||
|
||||
## Web search
|
||||
|
||||
Web search is enabled automatically. It requires Ollama cloud access and a model that supports tools. Run `ollama signin` if needed.
|
||||
|
||||
## Configuration
|
||||
|
||||
Ollama stores its settings in `~/.ollama/launch/dsh/settings.yaml`. These settings load last and set the model, provider, and web search connection. Repeated launches preserve other settings in this file. Ollama does not change `~/.dsh/settings.yaml`, profiles, sessions, or credentials.
|
||||
|
||||
Launch rejects additional `--patch` arguments. Pass other Harness arguments after `--`:
|
||||
|
||||
```shell
|
||||
ollama launch dsh -- --port 3081
|
||||
```
|
||||
|
||||
## Manual install
|
||||
|
||||
DeepSeek Harness requires Node.js. To install it manually:
|
||||
|
||||
```shell
|
||||
npm install -g @deepseek-ai/dsh@latest
|
||||
```
|
||||
|
||||
Then run `ollama launch dsh`. On Windows, install Node.js for Windows.
|
||||
@@ -17,13 +17,21 @@ Run `ollama launch` to see the latest integrations you can run from the terminal
|
||||
<Card title="OpenCode" icon="/images/launch-icons/opencode.svg" href="/integrations/opencode">
|
||||
Open-source coding agent that edits, runs, and iterates on code.
|
||||
</Card>
|
||||
|
||||
<Card title="DeepSeek Harness" icon="/images/launch-icons/deepseek-harness.svg" href="/integrations/deepseek-harness">
|
||||
DeepSeek's open-source agent harness with subagents and web search.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
## Connect an assistant
|
||||
|
||||
Assistants with memory, skills, and messaging app access.
|
||||
Use open models in assistant apps.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Claude" href="/integrations/claude-desktop">
|
||||
Desktop assistant with local and cloud Ollama models.
|
||||
</Card>
|
||||
|
||||
<Card title="OpenClaw" icon="/images/launch-icons/openclaw.svg" href="/integrations/openclaw">
|
||||
Personal assistant for messaging apps and everyday tasks.
|
||||
</Card>
|
||||
|
||||
+1
-1
@@ -148,7 +148,7 @@ PARAMETER <parameter> <parametervalue>
|
||||
| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------- | -------------------- |
|
||||
| num_ctx | Sets the size of the context window used to generate the next token. (Default: 2048) | int | num_ctx 4096 |
|
||||
| repeat_last_n | Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx) | int | repeat_last_n 64 |
|
||||
| repeat_penalty | 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. (Default: 1.1) | float | repeat_penalty 1.1 |
|
||||
| repeat_penalty | 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. (Default: 1.0, disabled) | float | repeat_penalty 1.1 |
|
||||
| temperature | The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8) | float | temperature 0.7 |
|
||||
| seed | Sets the random number seed to use for generation. Setting this to a specific number will make the model generate the same text for the same prompt. (Default: 0) | int | seed 42 |
|
||||
| stop | Sets the stop sequences to use. When this pattern is encountered the LLM will stop generating text and return. Multiple stop patterns may be set by specifying multiple separate `stop` parameters in a modelfile. | string | stop "AI assistant:" |
|
||||
|
||||
+12
-3
@@ -147,9 +147,12 @@ components:
|
||||
prompt_eval_count:
|
||||
type: integer
|
||||
description: Number of input tokens in the prompt
|
||||
prompt_eval_cached_count:
|
||||
type: integer
|
||||
description: Number of prompt tokens read from the cache
|
||||
prompt_eval_duration:
|
||||
type: integer
|
||||
description: Time spent evaluating the prompt in nanoseconds
|
||||
description: Time spent evaluating uncached prompt tokens in nanoseconds
|
||||
eval_count:
|
||||
type: integer
|
||||
description: Number of output tokens generated in the response
|
||||
@@ -191,9 +194,12 @@ components:
|
||||
prompt_eval_count:
|
||||
type: integer
|
||||
description: Number of input tokens in the prompt
|
||||
prompt_eval_cached_count:
|
||||
type: integer
|
||||
description: Number of prompt tokens read from the cache
|
||||
prompt_eval_duration:
|
||||
type: integer
|
||||
description: Time spent evaluating the prompt in nanoseconds
|
||||
description: Time spent evaluating uncached prompt tokens in nanoseconds
|
||||
eval_count:
|
||||
type: integer
|
||||
description: Number of output tokens generated in the response
|
||||
@@ -352,9 +358,12 @@ components:
|
||||
prompt_eval_count:
|
||||
type: integer
|
||||
description: Number of tokens in the prompt
|
||||
prompt_eval_cached_count:
|
||||
type: integer
|
||||
description: Number of prompt tokens read from the cache
|
||||
prompt_eval_duration:
|
||||
type: integer
|
||||
description: Time spent evaluating the prompt in nanoseconds
|
||||
description: Time spent evaluating uncached prompt tokens in nanoseconds
|
||||
eval_count:
|
||||
type: integer
|
||||
description: Number of tokens generated in the response
|
||||
|
||||
Reference in New Issue
Block a user