AI/Ollama: Difference between revisions

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* [https://ollama.com/library/qwen3-coder-next AI » Model » <code>qwen3-coder-next</code>]
* [https://ollama.com/library/lfm2.5-thinking AI » Model » <code>lfm2.5-thinking</code>]
* [https://ollama.com/library/lfm2.5-thinking AI » Model » <code>lfm2.5-thinking</code>]
* [https://ollama.com/library/lfm2 AI » Model » <code>lfm2</code>]
* [https://ollama.com/library/glm-4.7-flash AI » Model » <code>glm-4.7-flash</code>]
* [https://ollama.com/library/glm-4.7 AI » Model » <code>glm-4.7</code>]
* [https://ollama.com/library/glm-ocr AI » Model » <code>glm-ocr</code>]
* [https://ollama.com/library/glm-5 AI » Model » <code>glm-5</code>]
* [https://ollama.com/library/translategemma AI » Model » <code>translategemma</code>]
* [https://ollama.com/library/translategemma AI » Model » <code>translategemma</code>]
* [https://ollama.com/library/minimax-m2.5 AI » Model » <code>minimax-m2.5</code>]
* [https://ollama.com/library/minimax-m2.5 AI » Model » <code>minimax-m2.5</code>]
* [https://ollama.com/library/gpt-oss:20b AI » Model » <code>gpt-oss:20b</code>]
* [https://ollama.com/library/ministral-3 AI » Model » <code>ministral-3</code>]
* [https://ollama.com/library/qwen3.5 AI » Model » <code>qwen3.5</code>]
* [https://ollama.com/library/granite4 AI » Model » <code>granite4</code>]
* [https://ollama.com/library/gpt-oss AI » Model » <code>gpt-oss</code>]
* [https://ollama.com/library/glm-ocr AI » Model » <code>glm-ocr</code>]
* [https://ollama.com/library/glm-5 AI » Model » <code>glm-5</code>]
* [https://ollama.com/library/lfm2 AI » Model » <code>lfm2</code>]


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* [https://ollama.com/library/qwen3-coder-next AI » Model » <code>qwen3-coder-next</code>]
* [https://ollama.com/library/qwen3-embedding AI » Model » <code>qwen3-embedding</code>]
* [https://ollama.com/library/qwen3-embedding AI » Model » <code>qwen3-embedding</code>]
* [https://ollama.com/library/glm-4.7-flash AI » Model » <code>glm-4.7-flash</code>]
* [https://ollama.com/library/qwen3-coder AI » Model » <code>qwen3-coder</code>]
* [https://ollama.com/library/ministral-3 AI » Model » <code>ministral-3</code>]
* [https://ollama.com/library/granite4 AI » Model » <code>granite4</code>]
* [https://ollama.com/library/qwen3-vl AI » Model » <code>qwen3-vl</code>]
* [https://ollama.com/library/qwen3-vl AI » Model » <code>qwen3-vl</code>]
* [https://ollama.com/library/qwen3.5 AI » Model » <code>qwen3.5</code>]
* [https://ollama.com/library/gpt-oss:120b AI » Model » <code>gpt-oss:120b</code>]
* [https://ollama.com/library/gpt-oss:20b AI » Model » <code>gpt-oss:20b</code>]
* [https://ollama.com/library/gpt-oss AI » Model » <code>gpt-oss</code>]


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Revision as of 06:23, 1 March 2026

curl -fsSL https://ollama.com/install.sh | sh
ollama pull model gpt-oss:20b
ollama --version
ollama ls

curl -fsSL https://claude.ai/install.sh  | bash
ollama launch claude --model gpt-oss:20b
export ANTHROPIC_BASE_URL=http://localhost:11434
export ANTHROPIC_AUTH_TOKEN=ollama
export ANTHROPIC_API_KEY=""
export OLLAMA_NUM_CTX=32768
export OLLAMA_KEEP_ALIVE=5m

claude --model gpt-oss:20b

Diagram

@startuml
autonumber
skinparam backgroundColor    transparent
skinparam DefaultFontName    Helvetica
skinparam actorStyle         awesome
skinparam ParticipantPadding 20
skinparam BoxPadding         10

title Claude ↔ Local FS ↔ Ollama ↔ GPT-OSS:20b

actor "Developer"                  as dev

box "Local Development PC" #LightBlue
    participant "Claude Code CLI"  as claude
    participant "Local Filesystem" as fs
end box

box "Kubernetes Cluster (K3s)" #Yellow
    participant "Ollama Service"   as ollama
    participant "GPT-OSS:20b"      as model
end box

dev      -> claude : Runs "claude --model gpt-oss:20b"
claude   -> fs     : Scans repository context
fs      --> claude : File contents / Git history

claude   -> ollama : POST /v1/messages (Anthropic API)
note right: Payload includes system prompt \nand local code context

ollama   -> model  : Load weights into GPU VRAM
model   --> ollama : Inference processing...

ollama -->> claude : Streamed Response (Tokens)
claude   -> dev    : Displays suggested code changes

@enduml

Sturcture

@startsalt
skinparam backgroundColor transparent
skinparam defaultFontName monospaced
{
{T-
+/                           | Root File System
++**/usr/local/bin/**        | Executive Binaries
+++ollama                    | Ollama Server (Standalone Binary)
+++claude                    | Claude Code CLI
++**/etc/systemd/system/**   | Services
+++ollama.service            | Systemd service file
++**/var/lib/claude-code/**  | Native installation files (Global)
++**/home/<user>/**          | User's Home Directory
+++**.ollama/**              | Ollama Data Directory
++++history                  | CLI Chat History
++++**models/**              | Saved Models
+++++blobs/                  | Weights **(gpt-oss:20b)**
+++++manifests/              | Model metadata
+++**.claude/**              | Claude Code Data Directory
++++config.json              | API URL, keys, project context
++++memory/                  | Persistent memory
+++**my-project/**           | Your development folder
++++.claude/                 | Project specific settings
++++CLAUDE.md                | Guidebook for current project
}
}
@endsalt

Optimization

Optimization

Yoga Pro 7i (G9 + U7 155H + 32GB + 1TB)

Variable Value Impact
OLLAMA_FLASH_ATTENTION 1 Reduces memory usage and speeds up processing for long code files. Highly recommended for coding.
OLLAMA_KV_CACHE_TYPE q8_0 or q4_0 Compresses the short-term memory cache. q8_0 saves space with almost no quality loss; q4_0 saves even more space.
OLLAMA_NUM_PARALLEL 1 Crucial for 32GB RAM. Limits Ollama to one task at a time to prevent Out of Memory crashes when using a 20B model.
OLLAMA_KEEP_ALIVE 30m Keeps the 20B model in your RAM for 30 minutes after use so you don't have to wait 20 seconds for it to reload every time.
OLLAMA_NUM_CTX 6384 to 32768 The most important. Controls the brain capacity. 32k is standard for Claude Code but uses ~3GB more RAM than the default 4k.
OLLAMA_NUM_GPU 999 Forces Ollama to offload as many layers as possible to your Intel Arc iGPU instead of the slower CPU.

References

References