Sync ollama docs from 82f905cd on 2026-07-12
This commit is contained in:
The Librarian
+2
-2
@@ -46,7 +46,7 @@ Generate a response for a given prompt with a provided model. This is a streamin
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- `prompt`: the prompt to generate a response for
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- `suffix`: the text after the model response
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- `images`: (optional) a list of base64-encoded images (for multimodal models such as `llava`)
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- `think`: (for thinking models) should the model think before responding?
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- `think`: (for thinking models) should the model think before responding? Can be a boolean or a thinking level (`"low"`, `"medium"`, `"high"`, or `"max"`).
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Advanced parameters (optional):
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@@ -504,7 +504,7 @@ Generate the next message in a chat with a provided model. This is a streaming e
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- `model`: (required) the [model name](#model-names)
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- `messages`: the messages of the chat, this can be used to keep a chat memory
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- `tools`: list of tools in JSON for the model to use if supported
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- `think`: (for thinking models) should the model think before responding?
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- `think`: (for thinking models) should the model think before responding? Can be a boolean or a thinking level (`"low"`, `"medium"`, `"high"`, or `"max"`).
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The `message` object has the following fields:
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@@ -2,11 +2,11 @@
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title: Introduction
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---
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Ollama's API allows you to run and interact with models programatically.
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Use Ollama's API to run and interact with models.
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## Get started
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If you're just getting started, follow the [quickstart](/quickstart) documentation to get up and running with Ollama's API.
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Follow the [quickstart](/quickstart) to install Ollama and make your first request.
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## Base URL
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@@ -208,9 +208,9 @@ curl -X POST http://localhost:11434/v1/chat/completions \
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- [x] `top_p`
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- [x] `max_tokens`
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- [x] `tools`
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- [x] `reasoning_effort` (`"high"`, `"medium"`, `"low"`, `"none"`)
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- [x] `reasoning_effort` (`"high"`, `"medium"`, `"low"`, `"max"`, `"none"`)
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- [x] `reasoning`
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- [x] `effort` (`"high"`, `"medium"`, `"low"`, `"none"`)
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- [x] `effort` (`"high"`, `"medium"`, `"low"`, `"max"`, `"none"`)
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- [ ] `tool_choice`
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- [ ] `logit_bias`
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- [ ] `user`
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@@ -16,9 +16,9 @@ Use this capability to audit model steps, animate the model *thinking* in a UI,
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## Enable thinking in API calls
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Set the `think` field on chat or generate requests. Most models accept booleans (`true`/`false`).
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Set the `think` field on chat or generate requests. Most models accept booleans (`true`/`false`) or levels (`low`, `medium`, `high`, `max`), where `max` requests the highest thinking level.
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GPT-OSS instead expects one of `low`, `medium`, or `high` to tune the trace length.
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GPT-OSS instead expects one of `low`, `medium`, or `high` to tune the trace length.
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The `message.thinking` (chat endpoint) or `thinking` (generate endpoint) field contains the reasoning trace while `message.content` / `response` holds the final answer.
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@@ -252,3 +252,20 @@ Ollama Cloud model retirement does not affect local models.
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| June 16, 2026 | `qwen3-vl:235b` | `qwen3.5` |
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| June 16, 2026 | `qwen3-vl:235b-instruct` | `qwen3.5` |
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| June 16, 2026 | `cogito-2.1:671b` | `deepseek-v4-flash` |
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| June 30, 2026 | `rnj-1:8b` | |
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| July 15, 2026 | `deepseek-v3.1:671b` | `deepseek-v4-flash` |
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| July 15, 2026 | `deepseek-v3.2` | `deepseek-v4-flash` |
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| July 15, 2026 | `devstral-2:123b` | `mistral-large-3:675b` |
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| July 15, 2026 | `devstral-small-2:24b` | |
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| July 15, 2026 | `ministral-3:14b` | |
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| July 15, 2026 | `ministral-3:3b` | |
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| July 15, 2026 | `ministral-3:8b` | |
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| July 15, 2026 | `gemini-3-flash-preview` | `minimax-m3` |
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| July 15, 2026 | `gemma3:12b` | `gemma4:31b` |
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| July 15, 2026 | `gemma3:27b` | `gemma4:31b` |
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| July 15, 2026 | `gemma3:4b` | `gemma4:31b` |
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| July 15, 2026 | `glm-4.7` | `glm-5.2` |
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| July 15, 2026 | `glm-5` | `glm-5.2` |
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| July 15, 2026 | `minimax-m2.1` | `minimax-m3` |
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| July 15, 2026 | `qwen3-coder-next` | `qwen3.5:397b` |
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| July 15, 2026 | `qwen3-coder:480b` | `qwen3.5:397b` |
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+2
-2
@@ -51,10 +51,10 @@ cmake -B build . -DOLLAMA_LLAMA_BACKENDS=cuda_v13 -DCMAKE_CUDA_ARCHITECTURES=nat
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cmake -B build . -DOLLAMA_LLAMA_BACKENDS=rocm_v7_2 -DCMAKE_HIP_ARCHITECTURES=gfx1100
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```
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You can tune GGML build options by setting `GGML_*` values during configure. For example, to build CUDA v12 for Pascal without flash attention kernels:
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You can tune GGML build options by setting `GGML_*` values during configure. For example, to disable CUDA flash attention kernels for local debugging:
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```shell
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cmake -B build . -DOLLAMA_LLAMA_BACKENDS=cuda_v12 -DCMAKE_CUDA_ARCHITECTURES=61 -DGGML_CUDA_FA=OFF
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cmake -B build . -DOLLAMA_LLAMA_BACKENDS=cuda_v12 -DGGML_CUDA_FA=OFF
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```
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## macOS (Apple Silicon)
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+74
-69
@@ -84,7 +84,7 @@
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"navigation": {
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"tabs": [
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{
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"tab": "Documentation",
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"tab": "Guide",
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"groups": [
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{
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"group": "Get started",
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@@ -106,78 +106,10 @@
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"/capabilities/web-search"
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]
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},
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{
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"group": "Integrations",
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"pages": [
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"/integrations/index",
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{
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"group": "Assistants",
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"expanded": true,
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"pages": [
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"/integrations/openclaw",
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"/integrations/hermes",
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"/integrations/hermes-desktop"
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]
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},
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{
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"group": "Coding",
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"expanded": true,
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"pages": [
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"/integrations/claude-code",
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"/integrations/codex-app",
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"/integrations/codex",
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"/integrations/copilot-cli",
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"/integrations/cline-cli",
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"/integrations/opencode",
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"/integrations/droid",
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"/integrations/goose",
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"/integrations/oh-my-pi",
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"/integrations/pi",
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"/integrations/pool"
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]
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},
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{
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"group": "IDEs & Editors",
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"expanded": true,
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"pages": [
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"/integrations/cline",
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"/integrations/jetbrains",
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"/integrations/roo-code",
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"/integrations/vscode",
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"/integrations/xcode",
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"/integrations/zed"
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]
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},
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{
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"group": "Chat & RAG",
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"pages": [
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"/integrations/onyx"
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]
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},
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{
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"group": "Automation",
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"pages": [
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"/integrations/n8n"
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]
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},
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{
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"group": "Notebooks",
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"pages": [
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"/integrations/marimo"
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]
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}
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]
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},
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{
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"group": "More information",
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"pages": [
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"/cli",
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{
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"group": "Assistant Sandboxing",
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"pages": [
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"/integrations/nemoclaw"
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]
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},
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"/modelfile",
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"/context-length",
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"/linux",
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@@ -192,6 +124,79 @@
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}
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]
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},
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{
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"tab": "Integrations",
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"groups": [
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{
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"group": "Integrations",
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"pages": [
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"/integrations/index"
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||||
]
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||||
},
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||||
{
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"group": "Assistants",
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"expanded": true,
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"pages": [
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"/integrations/openclaw",
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"/integrations/hermes",
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"/integrations/hermes-desktop"
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]
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},
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{
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||||
"group": "Coding",
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||||
"expanded": true,
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"pages": [
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||||
"/integrations/claude-code",
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"/integrations/opencode",
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"/integrations/cline-cli",
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"/integrations/codex-app",
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"/integrations/codex",
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"/integrations/copilot-cli",
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"/integrations/droid",
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"/integrations/goose",
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"/integrations/oh-my-pi",
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"/integrations/pi",
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"/integrations/pool"
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]
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||||
},
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{
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||||
"group": "IDEs & Editors",
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||||
"expanded": true,
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"pages": [
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||||
"/integrations/vscode",
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"/integrations/cline",
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"/integrations/jetbrains",
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||||
"/integrations/roo-code",
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"/integrations/xcode",
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"/integrations/zed"
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]
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||||
},
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||||
{
|
||||
"group": "Chat & RAG",
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||||
"pages": [
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||||
"/integrations/onyx"
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||||
]
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||||
},
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{
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||||
"group": "Automation",
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||||
"pages": [
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||||
"/integrations/n8n"
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||||
]
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||||
},
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||||
{
|
||||
"group": "Notebooks",
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||||
"pages": [
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||||
"/integrations/marimo"
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||||
]
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||||
},
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||||
{
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||||
"group": "Assistant Sandboxing",
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||||
"pages": [
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"/integrations/nemoclaw"
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||||
]
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||||
}
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||||
]
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},
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{
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"tab": "API Reference",
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"openapi": "/openapi.yaml",
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+1
-1
@@ -343,7 +343,7 @@ When loading a new model, Ollama evaluates the required VRAM for the model again
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## How can I enable Flash Attention?
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Flash Attention is a feature of most modern models that can significantly reduce memory usage as the context size grows. To enable Flash Attention, set the `OLLAMA_FLASH_ATTENTION` environment variable to `1` when starting the Ollama server.
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Flash Attention is a feature of most modern models that can significantly reduce memory usage as the context size grows. Ollama uses Flash Attention automatically when the selected backend and devices support it. To force Flash Attention on, set `OLLAMA_FLASH_ATTENTION=1` when starting the Ollama server. To disable it, set `OLLAMA_FLASH_ATTENTION=0`.
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## How can I set the quantization type for the K/V cache?
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+4
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@@ -3,7 +3,7 @@ title: Hardware support
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---
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## Nvidia
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Ollama supports Nvidia GPUs with compute capability 5.0+ and driver version 531 and newer.
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Ollama supports Nvidia GPUs with compute capability 5.0+ and driver version 550 and newer.
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Nvidia GPUs with compute capability 5.0 through 6.2 require driver version 570 or newer.
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Check your compute compatibility to see if your card is supported:
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@@ -68,7 +68,7 @@ using the `amdgpu-install` utility from
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| Family | Cards and accelerators |
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| -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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||||
| AMD Radeon RX | `9070 XT` `9070 GRE` `9070` `9060 XT` `9060 XT LP` `9060` `7900 XTX` `7900 XT` `7900 GRE` `7800 XT` `7700 XT` `7700` `7600 XT` `7600` `6950 XT` `6900 XTX` `6900XT` `6800 XT` `6800` `5700 XT` `5700` `5600 XT` `5500 XT` |
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| AMD Radeon RX | `9070 XT` `9070 GRE` `9070` `9060 XT` `9060 XT LP` `9060` `7900 XTX` `7900 XT` `7900 GRE` `7800 XT` `7700 XT` `7700` `7600 XT` `7600` `6950 XT` `6900 XTX` `6900XT` `6800 XT` `6800` |
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| AMD Radeon AI PRO | `R9700` `R9600D` |
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| AMD Radeon PRO | `W7900` `W7800` `W7700` `W7600` `W7500` `W6900X` `W6800X Duo` `W6800X` `W6800` `V620` |
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| AMD Ryzen AI | `Ryzen AI Max+ 395` `Ryzen AI Max 390` `Ryzen AI Max 385` `Ryzen AI 9 HX 475` `Ryzen AI 9 HX 470` `Ryzen AI 9 465` `Ryzen AI 9 HX 375` `Ryzen AI 9 HX 370` `Ryzen AI 9 365` |
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@@ -80,8 +80,8 @@ Ollama requires an AMD ROCm v7 / HIP7-capable driver stack on Windows.
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| Family | Cards and accelerators |
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| -------------- | -------------------------------------------------------------------------------------------------------------------- |
|
||||
| AMD Radeon RX | `7900 XTX` `7900 XT` `7900 GRE` `7800 XT` `7700 XT` `7600 XT` `7600` `6950 XT` `6900 XTX` `6900XT` `6800 XT` `6800` |
|
||||
| AMD Radeon PRO | `W7900` `W7800` `W7700` `W7600` `W7500` `W6900X` `W6800X Duo` `W6800X` `W6800` `V620` |
|
||||
| AMD Radeon RX | `7900 XTX` `7900 XT` `7900 GRE` `7800 XT` `7700 XT` `7600 XT` `7600` |
|
||||
| AMD Radeon PRO | `W7900` `W7800` `W7700` `W7600` `W7500` |
|
||||
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### Overrides on Linux
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||||
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@@ -107,13 +107,10 @@ This table shows some example GPUs that map to these LLVM targets:
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| gfx90a | Radeon Instinct MI210/MI250 |
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| gfx942 | Radeon Instinct MI300X/MI300A |
|
||||
| gfx950 | Radeon Instinct MI350X |
|
||||
| gfx1010 | Radeon RX 5700 XT |
|
||||
| gfx1012 | Radeon RX 5500 XT |
|
||||
| gfx1030 | Radeon PRO V620 |
|
||||
| gfx1100 | Radeon PRO W7900 |
|
||||
| gfx1101 | Radeon PRO W7700 |
|
||||
| gfx1102 | Radeon RX 7600 |
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||||
| gfx1103 | Radeon 780M |
|
||||
| gfx1150 | Ryzen AI 9 HX 375 |
|
||||
| gfx1151 | Ryzen AI Max+ 395 |
|
||||
| gfx1200 | Radeon RX 9070 |
|
||||
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||||
@@ -0,0 +1 @@
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||||
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|
||||
|
After Width: | Height: | Size: 3.4 KiB |
+28
-30
@@ -1,47 +1,45 @@
|
||||
---
|
||||
title: Ollama's documentation
|
||||
title: Ollama documentation
|
||||
sidebarTitle: Welcome
|
||||
---
|
||||
|
||||
<img src="/images/welcome.png" noZoom className="rounded-3xl" />
|
||||
Start building with open models.
|
||||
|
||||
[Ollama](https://ollama.com) is the easiest way to get up and running with large language models such as gpt-oss, Gemma 4, DeepSeek-R1, Qwen3 and more.
|
||||
Follow the [quickstart](/quickstart), then choose a model, integration, or API.
|
||||
|
||||
## Models
|
||||
|
||||
Run models locally or use larger models in Ollama's cloud.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Quickstart" icon="rocket" href="/quickstart">
|
||||
Get up and running with your first model or integrate Ollama with your favorite tools
|
||||
<Card title="Browse models" icon="star" href="https://ollama.com/search">
|
||||
Find models for chat, coding, vision, embeddings, and reasoning.
|
||||
</Card>
|
||||
<Card
|
||||
title="Download Ollama"
|
||||
icon="download"
|
||||
href="https://ollama.com/download"
|
||||
>
|
||||
Download Ollama on macOS, Windows or Linux
|
||||
</Card>
|
||||
<Card title="Cloud" icon="cloud" href="/cloud">
|
||||
Ollama's cloud models offer larger models with better performance.
|
||||
</Card>
|
||||
<Card title="API reference" icon="terminal" href="/api">
|
||||
View Ollama's API reference
|
||||
|
||||
<Card title="Cloud models" icon="cloud" href="/cloud">
|
||||
Run larger models on Ollama's Cloud without the download.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
## Libraries
|
||||
## Next steps
|
||||
|
||||
Connect Ollama to an app, or build with the API.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card
|
||||
title="Ollama's Python Library"
|
||||
icon="python"
|
||||
href="https://github.com/ollama/ollama-python"
|
||||
>
|
||||
The official library for using Ollama with Python
|
||||
<Card title="Integrations" icon="plug" href="/integrations">
|
||||
Connect Ollama to an app, editor, or agent.
|
||||
</Card>
|
||||
|
||||
<Card title="Ollama's JavaScript library" icon="js" href="https://github.com/ollama/ollama-js">
|
||||
The official library for using Ollama with JavaScript or TypeScript.
|
||||
<Card title="First API request" icon="code" href="/api/introduction">
|
||||
Learn the local and cloud base URLs, then send a request with `curl`.
|
||||
</Card>
|
||||
<Card title="Community libraries" icon="github" href="https://github.com/ollama/ollama?tab=readme-ov-file#libraries-1">
|
||||
View a list of 20+ community-supported libraries for Ollama
|
||||
|
||||
<Card title="Python library" icon="python" href="https://github.com/ollama/ollama-python">
|
||||
Use Ollama from Python.
|
||||
</Card>
|
||||
|
||||
<Card title="JavaScript library" icon="js" href="https://github.com/ollama/ollama-js">
|
||||
Use Ollama from JavaScript or TypeScript.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
@@ -49,10 +47,10 @@ sidebarTitle: Welcome
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Discord" icon="discord" href="https://discord.gg/ollama">
|
||||
Join our Discord community
|
||||
Join the Ollama Discord.
|
||||
</Card>
|
||||
|
||||
<Card title="Reddit" icon="reddit" href="https://reddit.com/r/ollama">
|
||||
Join our Reddit community
|
||||
Join the Ollama subreddit.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
@@ -2,15 +2,162 @@
|
||||
title: Claude Code
|
||||
---
|
||||
|
||||
Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory.
|
||||
[Claude Code](https://code.claude.com/docs/en/overview) is an agentic coding tool that reads your codebase, edits files, and runs commands.
|
||||
|
||||
Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `qwen3.5`, `glm-5:cloud`, `kimi-k2.5:cloud`.
|
||||
Ollama connects Claude Code to local and cloud models through its Anthropic-compatible API.
|
||||
|
||||
|
||||
## Get started
|
||||
|
||||
## Install
|
||||
Launch Claude Code with Ollama:
|
||||
|
||||
Install [Claude Code](https://code.claude.com/docs/en/overview):
|
||||
```shell
|
||||
ollama launch claude
|
||||
```
|
||||
|
||||
## Capabilities
|
||||
|
||||
<div className="capability-list capability-list-full">
|
||||
<div className="capability-list-grid">
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="comment" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Chat</div>
|
||||
<div className="capability-list-copy">Ask questions about a repository or task</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="terminal" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Command line</div>
|
||||
<div className="capability-list-copy">Run commands with Claude Code's permission flow</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="code" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Tool calling</div>
|
||||
<div className="capability-list-copy">Use tools with compatible models</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="file-pen" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">File edits</div>
|
||||
<div className="capability-list-copy">Read and edit files in your project</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="users" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Subagents</div>
|
||||
<div className="capability-list-copy">Split work across tasks</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="globe" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Web search</div>
|
||||
<div className="capability-list-copy">Search the web through Ollama</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="file-text" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Web fetch</div>
|
||||
<div className="capability-list-copy">Fetch and summarize web pages</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="image" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Vision</div>
|
||||
<div className="capability-list-copy">Send images and screenshots</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="brain" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Thinking</div>
|
||||
<div className="capability-list-copy">Use thinking controls with compatible models</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
## Models
|
||||
|
||||
Choose a model with enough context for your repository.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Cloud models" icon="cloud" href="https://ollama.com/search?c=cloud">
|
||||
Use larger models without downloading them.
|
||||
</Card>
|
||||
|
||||
<Card title="Local models" icon="hard-drive" href="https://ollama.com/search?c=tools">
|
||||
Choose a model and set a 64k+ context window.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<Note>For larger repositories, set the [context length](/context-length) to 64k or higher.</Note>
|
||||
|
||||
## More features
|
||||
|
||||
### Run without interaction
|
||||
|
||||
Use `--yes` for scripts, Docker, or CI:
|
||||
|
||||
```shell
|
||||
ollama launch claude --model gemma4:cloud --yes -- -p "how does this repository work?"
|
||||
```
|
||||
|
||||
The `--yes` flag skips selectors, pulls the model when needed, and requires `--model`. Arguments after `--` are passed directly to Claude Code.
|
||||
|
||||
### Web search
|
||||
|
||||
Use Ollama's web search API from Claude Code.
|
||||
|
||||
See [Web search](/capabilities/web-search) for setup and usage.
|
||||
|
||||
### Scheduled tasks with `/loop`
|
||||
|
||||
Use `/loop` inside Claude Code to run a prompt or slash command on a schedule:
|
||||
|
||||
```text
|
||||
/loop <interval> <prompt or /command>
|
||||
```
|
||||
|
||||
Examples:
|
||||
|
||||
```text
|
||||
/loop 30m Check my open PRs and summarize their status
|
||||
/loop 1h Research the latest AI news and summarize key developments
|
||||
/loop 15m Check for new GitHub issues and triage by priority
|
||||
```
|
||||
|
||||
### Telegram
|
||||
|
||||
Connect a Telegram bot to your Claude Code session. Install the [Telegram plugin](https://github.com/anthropics/claude-plugins-official), create a bot with [@BotFather](https://t.me/BotFather), then launch Claude Code:
|
||||
|
||||
```shell
|
||||
ollama launch claude -- --channels plugin:telegram@claude-plugins-official
|
||||
```
|
||||
|
||||
Claude Code prompts for permission on most actions. To allow the bot to work autonomously, configure [permission rules](https://code.claude.com/docs/en/permissions) or pass `--dangerously-skip-permissions` in an isolated environment.
|
||||
|
||||
See the [plugin README](https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/telegram) for setup instructions.
|
||||
|
||||
## Manual setup
|
||||
|
||||
<p className="manual-step-title">1. Install Claude Code</p>
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
@@ -24,95 +171,7 @@ irm https://claude.ai/install.ps1 | iex
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
## Usage with Ollama
|
||||
|
||||
### Quick setup
|
||||
|
||||
```shell
|
||||
ollama launch claude
|
||||
```
|
||||
|
||||
### Run directly with a model
|
||||
```shell
|
||||
ollama launch claude --model kimi-k2.5:cloud
|
||||
```
|
||||
|
||||
## Recommended Models
|
||||
|
||||
- `kimi-k2.5:cloud`
|
||||
- `glm-5:cloud`
|
||||
- `minimax-m2.7:cloud`
|
||||
- `qwen3.5:cloud`
|
||||
- `glm-4.7-flash`
|
||||
- `qwen3.5`
|
||||
|
||||
Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
|
||||
|
||||
## Non-interactive (headless) mode
|
||||
|
||||
Run Claude Code without interaction for use in Docker, CI/CD, or scripts:
|
||||
|
||||
```shell
|
||||
ollama launch claude --model kimi-k2.5:cloud --yes -- -p "how does this repository work?"
|
||||
```
|
||||
|
||||
The `--yes` flag auto-pulls the model, skips selectors, and requires `--model` to be specified. Arguments after `--` are passed directly to Claude Code.
|
||||
|
||||
## Web search
|
||||
|
||||
Claude Code can search the web through Ollama's web search API. See the [web search documentation](/capabilities/web-search) for setup and usage.
|
||||
|
||||
## Scheduled Tasks with `/loop`
|
||||
|
||||
The `/loop` command runs a prompt or slash command on a recurring schedule inside Claude Code. This is useful for automating repetitive tasks like checking PRs, running research, or setting reminders.
|
||||
|
||||
```
|
||||
/loop <interval> <prompt or /command>
|
||||
```
|
||||
|
||||
### Examples
|
||||
|
||||
**Check in on your PRs**
|
||||
|
||||
```
|
||||
/loop 30m Check my open PRs and summarize their status
|
||||
```
|
||||
|
||||
**Automate research tasks**
|
||||
|
||||
```
|
||||
/loop 1h Research the latest AI news and summarize key developments
|
||||
```
|
||||
|
||||
**Automate bug reporting and triaging**
|
||||
|
||||
```
|
||||
/loop 15m Check for new GitHub issues and triage by priority
|
||||
```
|
||||
|
||||
**Set reminders**
|
||||
|
||||
```
|
||||
/loop 1h Remind me to review the deploy status
|
||||
```
|
||||
|
||||
## Telegram
|
||||
|
||||
Chat with Claude Code from Telegram by connecting a bot to your session. Install the [Telegram plugin](https://github.com/anthropics/claude-plugins-official), create a bot via [@BotFather](https://t.me/BotFather), then launch with the channel flag:
|
||||
|
||||
```shell
|
||||
ollama launch claude -- --channels plugin:telegram@claude-plugins-official
|
||||
```
|
||||
|
||||
Claude Code will prompt for permission on most actions. To allow the bot to work autonomously, configure [permission rules](https://code.claude.com/docs/en/permissions) or pass `--dangerously-skip-permissions` in isolated environments.
|
||||
|
||||
See the [plugin README](https://github.com/anthropics/claude-plugins-official/tree/main/external_plugins/telegram) for full setup instructions including pairing and access control.
|
||||
|
||||
## Manual setup
|
||||
|
||||
Claude Code connects to Ollama using the Anthropic-compatible API.
|
||||
|
||||
1. Set the environment variables:
|
||||
<p className="manual-step-title">2. Set the environment variables</p>
|
||||
|
||||
```shell
|
||||
export ANTHROPIC_AUTH_TOKEN=ollama
|
||||
@@ -120,7 +179,7 @@ export ANTHROPIC_API_KEY=""
|
||||
export ANTHROPIC_BASE_URL=http://localhost:11434
|
||||
```
|
||||
|
||||
2. Run Claude Code with an Ollama model:
|
||||
<p className="manual-step-title">3. Run Claude Code</p>
|
||||
|
||||
```shell
|
||||
claude --model qwen3.5
|
||||
@@ -129,8 +188,5 @@ claude --model qwen3.5
|
||||
Or run with environment variables inline:
|
||||
|
||||
```shell
|
||||
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model glm-5:cloud
|
||||
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model kimi-k2.7-code:cloud
|
||||
```
|
||||
|
||||
**Note:** Claude Code requires a large context window. We recommend at least 64k tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
|
||||
|
||||
|
||||
@@ -56,7 +56,7 @@ hermes setup
|
||||
If you'd rather drive Hermes's own wizard instead of `ollama launch hermes`, install it directly:
|
||||
|
||||
```bash
|
||||
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
|
||||
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
|
||||
```
|
||||
|
||||
Hermes launches the setup wizard automatically. Choose **Quick setup**:
|
||||
|
||||
+28
-42
@@ -2,57 +2,43 @@
|
||||
title: Overview
|
||||
---
|
||||
|
||||
Ollama integrates with a wide range of tools.
|
||||
Use Ollama from coding agents, personal assistants, and editors.
|
||||
|
||||
## Coding Agents
|
||||
Run `ollama launch` to see the latest integrations you can run from the terminal.
|
||||
|
||||
Coding assistants that can read, modify, and execute code in your projects.
|
||||
## Code in the terminal
|
||||
|
||||
- [Claude Code](/integrations/claude-code)
|
||||
- [Codex App](/integrations/codex-app)
|
||||
- [Codex CLI](/integrations/codex)
|
||||
- [Copilot CLI](/integrations/copilot-cli)
|
||||
- [Cline CLI](/integrations/cline-cli)
|
||||
- [OpenCode](/integrations/opencode)
|
||||
- [Droid](/integrations/droid)
|
||||
- [Goose](/integrations/goose)
|
||||
- [Oh My Pi](/integrations/oh-my-pi)
|
||||
- [Pi](/integrations/pi)
|
||||
- [Pool](/integrations/pool)
|
||||
|
||||
## Assistants
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Claude Code" icon="/images/launch-icons/claude-code.svg" href="/integrations/claude-code">
|
||||
Terminal coding agent with tools, vision, web search, and long context.
|
||||
</Card>
|
||||
|
||||
AI assistants that help with everyday tasks.
|
||||
<Card title="OpenCode" icon="/images/launch-icons/opencode.svg" href="/integrations/opencode">
|
||||
Open-source coding agent that edits, runs, and iterates on code.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
- [OpenClaw](/integrations/openclaw)
|
||||
- [Hermes Agent](/integrations/hermes)
|
||||
- [Hermes Desktop](/integrations/hermes-desktop)
|
||||
## Connect an assistant
|
||||
|
||||
## IDEs & Editors
|
||||
Assistants with memory, skills, and messaging app access.
|
||||
|
||||
Native integrations for popular development environments.
|
||||
<CardGroup cols={2}>
|
||||
<Card title="OpenClaw" icon="/images/launch-icons/openclaw.svg" href="/integrations/openclaw">
|
||||
Personal assistant for messaging apps and everyday tasks.
|
||||
</Card>
|
||||
|
||||
- [VS Code](/integrations/vscode)
|
||||
- [Cline](/integrations/cline)
|
||||
- [Roo Code](/integrations/roo-code)
|
||||
- [JetBrains](/integrations/jetbrains)
|
||||
- [Xcode](/integrations/xcode)
|
||||
- [Zed](/integrations/zed)
|
||||
<Card title="Hermes Agent" icon="/images/launch-icons/hermes-agent.svg" href="/integrations/hermes">
|
||||
Open-source agent with self-improving skills, memory, and messaging.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
## Chat & RAG
|
||||
## Work in your editor
|
||||
|
||||
Chat interfaces and retrieval-augmented generation platforms.
|
||||
Use Ollama models inside your editor.
|
||||
|
||||
- [Onyx](/integrations/onyx)
|
||||
|
||||
## Automation
|
||||
|
||||
Workflow automation platforms with AI integration.
|
||||
|
||||
- [n8n](/integrations/n8n)
|
||||
|
||||
## Notebooks
|
||||
|
||||
Interactive computing environments with AI capabilities.
|
||||
|
||||
- [marimo](/integrations/marimo)
|
||||
<CardGroup cols={2}>
|
||||
<Card title="VS Code" icon="/images/launch-icons/vscode.svg" href="/integrations/vscode">
|
||||
Select Ollama models from the Copilot Chat model picker in VS Code.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
+129
-15
@@ -2,30 +2,144 @@
|
||||
title: OpenCode
|
||||
---
|
||||
|
||||
OpenCode is an open-source AI coding assistant that runs in your terminal.
|
||||
[OpenCode](https://opencode.ai) is an open-source coding agent that runs in your terminal, reads your project, edits files, and runs commands.
|
||||
|
||||
## Install
|
||||
Ollama configures OpenCode to use local and cloud models.
|
||||
|
||||
Install the [OpenCode CLI](https://opencode.ai):
|
||||
## Get started
|
||||
|
||||
```bash
|
||||
curl -fsSL https://opencode.ai/install | bash
|
||||
```
|
||||
Launch OpenCode with Ollama:
|
||||
|
||||
<Note>OpenCode requires a larger context window. It is recommended to use a context window of at least 64k tokens. See [Context length](/context-length) for more information.</Note>
|
||||
|
||||
## Usage with Ollama
|
||||
|
||||
### Quick setup
|
||||
|
||||
```bash
|
||||
```shell
|
||||
ollama launch opencode
|
||||
```
|
||||
|
||||
To configure without launching:
|
||||
## Capabilities
|
||||
|
||||
<div className="capability-list capability-list-full">
|
||||
<div className="capability-list-grid">
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="comment" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Chat</div>
|
||||
<div className="capability-list-copy">Ask questions about a repository or task</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="terminal" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Command line</div>
|
||||
<div className="capability-list-copy">Run commands from your working directory</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="code" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">File edits</div>
|
||||
<div className="capability-list-copy">Read and edit files in your project</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="users" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Subagents</div>
|
||||
<div className="capability-list-copy">Split work across tasks</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="file-text" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Web fetch</div>
|
||||
<div className="capability-list-copy">Fetch and summarize web pages</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="capability-list-item">
|
||||
<div className="capability-list-icon"><Icon icon="image" /></div>
|
||||
<div>
|
||||
<div className="capability-list-heading">Vision</div>
|
||||
<div className="capability-list-copy">Send images and screenshots</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
## Models
|
||||
|
||||
Choose a model with enough context for your repository.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Cloud models" icon="cloud" href="https://ollama.com/search?c=cloud">
|
||||
Use larger models without downloading them.
|
||||
</Card>
|
||||
|
||||
<Card title="Local models" icon="hard-drive" href="https://ollama.com/search?c=tools">
|
||||
Choose a model and set a 64k+ context window.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<Note>OpenCode requires a context length of 64k or higher. See [Context length](/context-length) for more information.</Note>
|
||||
|
||||
## Manual setup
|
||||
|
||||
<p className="manual-step-title">1. Install OpenCode</p>
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```shell macOS / Linux
|
||||
curl -fsSL https://opencode.ai/install | bash
|
||||
```
|
||||
|
||||
```powershell Windows
|
||||
npm install -g opencode-ai
|
||||
```
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
<p className="manual-step-title">2. Configure Ollama as a provider</p>
|
||||
|
||||
Add an Ollama provider to `opencode.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"$schema": "https://opencode.ai/config.json",
|
||||
"provider": {
|
||||
"ollama": {
|
||||
"npm": "@ai-sdk/openai-compatible",
|
||||
"name": "Ollama",
|
||||
"options": {
|
||||
"baseURL": "http://localhost:11434/v1"
|
||||
},
|
||||
"models": {
|
||||
"qwen3.5": {
|
||||
"name": "qwen3.5"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
<p className="manual-step-title">3. Run OpenCode</p>
|
||||
|
||||
```shell
|
||||
opencode
|
||||
```
|
||||
|
||||
To configure OpenCode with Ollama without starting an interactive session:
|
||||
|
||||
```shell
|
||||
ollama launch opencode --config
|
||||
```
|
||||
|
||||
<Note>`ollama launch opencode` passes its configuration to OpenCode inline via the `OPENCODE_CONFIG_CONTENT` environment variable. OpenCode deep-merges its config sources on startup, so anything you declare in `~/.config/opencode/opencode.json` is still respected and available inside OpenCode. Models declared only in `opencode.json` won't appear in `ollama launch`'s model-selection menu.</Note>
|
||||
### Configuration precedence
|
||||
|
||||
`ollama launch opencode` starts OpenCode with an inline config for the selected Ollama model. It does not overwrite `~/.config/opencode/opencode.json`; existing OpenCode settings still apply.
|
||||
|
||||
Models defined only in `opencode.json` do not appear in the `ollama launch` model picker.
|
||||
|
||||
See OpenCode's [config precedence](https://opencode.ai/docs/config/#precedence-order).
|
||||
|
||||
+4
-4
@@ -99,8 +99,8 @@ components:
|
||||
oneOf:
|
||||
- type: boolean
|
||||
- type: string
|
||||
enum: [high, medium, low]
|
||||
description: When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string ("high", "medium", "low") for supported models.
|
||||
enum: [high, medium, low, max]
|
||||
description: When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string ("high", "medium", "low", "max") for supported models, with "max" requesting the highest thinking level.
|
||||
raw:
|
||||
type: boolean
|
||||
description: When true, returns the raw response from the model without any prompt templating
|
||||
@@ -291,8 +291,8 @@ components:
|
||||
oneOf:
|
||||
- type: boolean
|
||||
- type: string
|
||||
enum: [high, medium, low]
|
||||
description: When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string ("high", "medium", "low") for supported models.
|
||||
enum: [high, medium, low, max]
|
||||
description: When true, returns separate thinking output in addition to content. Can be a boolean (true/false) or a string ("high", "medium", "low", "max") for supported models, with "max" requesting the highest thinking level.
|
||||
keep_alive:
|
||||
oneOf:
|
||||
- type: string
|
||||
|
||||
+26
-33
@@ -2,7 +2,11 @@
|
||||
title: Quickstart
|
||||
---
|
||||
|
||||
Ollama is available on macOS, Windows, and Linux.
|
||||
Install Ollama and get your first response.
|
||||
|
||||
## 1. Download Ollama
|
||||
|
||||
Ollama runs on macOS, Windows, and Linux.
|
||||
|
||||
<a
|
||||
href="https://ollama.com/download"
|
||||
@@ -12,56 +16,45 @@ Ollama is available on macOS, Windows, and Linux.
|
||||
Download Ollama
|
||||
</a>
|
||||
|
||||
## Get Started
|
||||
## 2. Open the menu
|
||||
|
||||
Run `ollama` in your terminal to open the interactive menu:
|
||||
|
||||
```sh
|
||||
```shell
|
||||
ollama
|
||||
```
|
||||
|
||||
Navigate with `↑/↓`, press `enter` to launch, `→` to change model, and `esc` to quit.
|
||||
From the menu you can:
|
||||
|
||||
The menu provides quick access to:
|
||||
- **Run a model** - Start an interactive chat
|
||||
- **Launch tools** - Claude Code, Codex, OpenClaw, and more
|
||||
- **Additional integrations** - Available under "More..."
|
||||
- **Launch tools** - [Claude Code](/integrations/claude-code), [OpenClaw](/integrations/openclaw), [VS Code](/integrations/vscode), and more
|
||||
|
||||
## Assistants
|
||||
## 3. Start a chat
|
||||
|
||||
Launch [OpenClaw](/integrations/openclaw), a personal AI with 100+ skills:
|
||||
Run a model to start your first chat.
|
||||
|
||||
```sh
|
||||
ollama launch openclaw
|
||||
```shell
|
||||
ollama run gemma4
|
||||
```
|
||||
|
||||
## Coding
|
||||
Cloud models work the same way:
|
||||
|
||||
Launch [Claude Code](/integrations/claude-code) and other coding tools with Ollama models:
|
||||
|
||||
```sh
|
||||
ollama launch claude
|
||||
```shell
|
||||
ollama run gemma4:cloud
|
||||
```
|
||||
|
||||
```sh
|
||||
ollama launch codex
|
||||
Send your first message:
|
||||
|
||||
```text
|
||||
Explain why the sky is blue in one paragraph.
|
||||
```
|
||||
|
||||
```sh
|
||||
ollama launch opencode
|
||||
To leave the chat, type:
|
||||
|
||||
```shell
|
||||
/bye
|
||||
```
|
||||
|
||||
See [integrations](/integrations) for all supported tools.
|
||||
## Next steps
|
||||
|
||||
## API
|
||||
|
||||
Use the [API](/api) to integrate Ollama into your applications:
|
||||
|
||||
```sh
|
||||
curl http://localhost:11434/api/chat -d '{
|
||||
"model": "gemma4",
|
||||
"messages": [{ "role": "user", "content": "Hello!" }]
|
||||
}'
|
||||
```
|
||||
|
||||
See the [API documentation](/api) for Python, JavaScript, and other integrations.
|
||||
Use a model with an [integration](/integrations), make an [API request](/api/introduction), or browse more [models](https://ollama.com/search).
|
||||
|
||||
@@ -14,3 +14,104 @@ pre, code, .font-mono {
|
||||
color: #666;
|
||||
font-weight: 400;
|
||||
}
|
||||
|
||||
.capability-list {
|
||||
border-top: 1px solid #e5e5e5;
|
||||
border-bottom: 1px solid #e5e5e5;
|
||||
display: grid;
|
||||
gap: 2rem;
|
||||
grid-template-columns: 7rem minmax(0, 1fr);
|
||||
margin: 1.5rem 0 2rem;
|
||||
padding: 2rem 0;
|
||||
}
|
||||
|
||||
.capability-list-title {
|
||||
color: #171717;
|
||||
font-size: 1rem;
|
||||
line-height: 1.5rem;
|
||||
}
|
||||
|
||||
.capability-list-full {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.capability-list-grid {
|
||||
display: grid;
|
||||
gap: 1.75rem 2rem;
|
||||
grid-template-columns: repeat(2, minmax(0, 1fr));
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.capability-list-item {
|
||||
align-items: flex-start;
|
||||
display: grid;
|
||||
gap: 0.75rem;
|
||||
grid-template-columns: 2rem minmax(0, 1fr);
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.capability-list-icon {
|
||||
align-items: center;
|
||||
background: #f1f1f1;
|
||||
border-radius: 0.75rem;
|
||||
color: #171717;
|
||||
display: flex;
|
||||
height: 2rem;
|
||||
justify-content: center;
|
||||
width: 2rem;
|
||||
}
|
||||
|
||||
.capability-list-icon svg {
|
||||
height: 1rem;
|
||||
width: 1rem;
|
||||
}
|
||||
|
||||
.capability-list-heading {
|
||||
color: #171717;
|
||||
font-size: 1rem;
|
||||
font-weight: 600;
|
||||
line-height: 1.375rem;
|
||||
}
|
||||
|
||||
.capability-list-copy {
|
||||
color: #737373;
|
||||
font-size: 0.95rem;
|
||||
line-height: 1.375rem;
|
||||
}
|
||||
|
||||
.manual-step-title {
|
||||
color: #171717;
|
||||
font-size: 0.95rem;
|
||||
font-weight: 600;
|
||||
line-height: 1.375rem;
|
||||
margin: 1.25rem 0 0.75rem;
|
||||
}
|
||||
|
||||
.dark .capability-list {
|
||||
border-color: #262626;
|
||||
}
|
||||
|
||||
.dark .capability-list-title,
|
||||
.dark .capability-list-heading,
|
||||
.dark .manual-step-title {
|
||||
color: #fafafa;
|
||||
}
|
||||
|
||||
.dark .capability-list-icon {
|
||||
background: #262626;
|
||||
color: #fafafa;
|
||||
}
|
||||
|
||||
.dark .capability-list-copy {
|
||||
color: #a3a3a3;
|
||||
}
|
||||
|
||||
@media (max-width: 920px) {
|
||||
.capability-list {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
|
||||
.capability-list-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
}
|
||||
|
||||
+1
-1
@@ -11,7 +11,7 @@ terminal application. As usual the Ollama [API](/api) will be served on
|
||||
## System Requirements
|
||||
|
||||
- Windows 10 22H2 or newer, Home or Pro
|
||||
- NVIDIA 452.39 or newer Drivers if you have an NVIDIA card
|
||||
- NVIDIA 551.61 or newer Drivers if you have an NVIDIA card
|
||||
- AMD ROCm v7 / HIP7-capable driver stack for ROCm acceleration, or a Vulkan-capable AMD Radeon driver for Vulkan acceleration
|
||||
|
||||
Ollama uses unicode characters for progress indication, which may render as unknown squares in some older terminal fonts in Windows 10. If you see this, try changing your terminal font settings.
|
||||
|
||||
Reference in New Issue
Block a user