AI/Ollama

curl -fsSL https://ollama.com/install.sh | sh ollama pull 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/** | Executable Binaries +++ollama | Ollama Server (Standalone) ++**/etc/systemd/system/** | Systemd Services +++ollama.service | Systemd service file ++**/home/$USER/** | User's Home Directory +++**.local/bin/** | User's Executable Binaries ++++claude | Claude Code CLI +++**.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

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.

Installation

Installation

Yoga Pro 7i (G9 + U7 155H + 32GB + 1TB) Instal » Ollama curl -fsSL https://ollama.com/install.sh | sh :' >>> Installing ollama to /usr/local [sudo] password for shahed: >>> Downloading ollama-linux-amd64.tar.zst ######################################################################## 100.0% >>> Creating ollama user... >>> Adding ollama user to render group... >>> Adding ollama user to video group... >>> Adding current user to ollama group... >>> Creating ollama systemd service... >>> Enabling and starting ollama service... Created symlink /etc/systemd/system/default.target.wants/ollama.service → /etc/systemd/system/ollama.service. >>> The Ollama API is now available at 127.0.0.1:11434. >>> Install complete. Run "ollama" from the command line. WARNING: No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode. '