6/13/2026

OLLAMA 업데이트 sh

>>
nvidia@4535:~$ more update_ollama.sh

#!/usr/bin/env bash

set -e

LOG_FILE="$HOME/ollama_update.log"

echo "======================================"
echo " Ollama Auto Update"
echo "======================================"

log() {
    echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}

# ----------------------------
# Ollama 설치 여부 확인
# ----------------------------
if ! command -v ollama >/dev/null 2>&1; then
    log "ERROR: Ollama not installed."
    exit 1
fi

# ----------------------------
# jq 확인
# ----------------------------
if ! command -v jq >/dev/null 2>&1; then
    log "WARNING: jq not installed. Context length may not be displayed."
fi

# ----------------------------
# 현재 / 최신 버전 확인
# ----------------------------
CURRENT_VERSION=$(ollama --version | grep -oE '[0-9]+\.[0-9]+\.[0-9]+')

LATEST_VERSION=$(curl -fsSL \
    https://api.github.com/repos/ollama/ollama/releases/latest \
    | grep '"tag_name"' \
    | head -n 1 \
    | sed -E 's/.*"v([^"]+)".*/\1/')

log "Current Ollama : $CURRENT_VERSION"
log "Latest  Ollama : $LATEST_VERSION"

# ----------------------------
# Ollama 업데이트
# ----------------------------
if [ "$CURRENT_VERSION" != "$LATEST_VERSION" ]; then
    log "Updating Ollama..."

    curl -fsSL https://ollama.com/install.sh | sh

    sudo systemctl restart ollama || true

    log "Ollama updated."
else
    log "Ollama already latest."
fi

# ----------------------------
# 모델 업데이트
# ----------------------------
log "Checking local models..."

MODELS=$(ollama list | awk 'NR>1 {print $1}')

if [ -z "$MODELS" ]; then
    log "No local models found."
    exit 0
fi

SUCCESS=0
FAILED=0

while read -r MODEL; do
    [ -z "$MODEL" ] && continue

    log "Updating model: $MODEL"

    if ollama pull "$MODEL"; then
        log "SUCCESS: $MODEL"
        SUCCESS=$((SUCCESS + 1))
    else
        log "FAILED : $MODEL"
        FAILED=$((FAILED + 1))
    fi

done <<< "$MODELS"

# ----------------------------
# 설치된 모델 정보 출력
# ----------------------------

echo
echo "========================================================================================================"
echo "Installed Models (Sorted by Context)"
echo "========================================================================================================"

printf "%-40s %-10s %-12s %-20s\n" \
    "MODEL" "SIZE" "CONTEXT" "ARCH"

printf "%-40s %-10s %-12s %-20s\n" \
    "----------------------------------------" \
    "--------" \
    "------------" \
    "--------------------"

(
    tail -n +2 < <(ollama list) | while read -r MODEL ID SIZE UNIT REST; do

        SIZE="${SIZE}${UNIT}"

        JSON=$(curl -s http://localhost:11434/api/show \
            -H "Content-Type: application/json" \
            -d "{\"name\":\"$MODEL\"}")

        ARCH=$(echo "$JSON" | jq -r '
            .model_info["general.architecture"] // "-"
        ')

        CONTEXT=$(echo "$JSON" | jq -r '
            .model_info
            | to_entries[]
            | select(.key | endswith(".context_length"))
            | .value
        ' 2>/dev/null | head -n1)

        [ -z "$CONTEXT" ] && CONTEXT=0
        [ "$CONTEXT" = "null" ] && CONTEXT=0

        echo "${CONTEXT}|${MODEL}|${SIZE}|${ARCH}"

    done
) | sort -t'|' -k1,1nr | while IFS='|' read -r CONTEXT MODEL SIZE ARCH; do

    printf "%-40s %-10s %-12s %-20s\n" \
        "$MODEL" \
        "$SIZE" \
        "$CONTEXT" \
        "$ARCH"

done
echo
log "======================================"
log "Update Complete"
log "Success : $SUCCESS"
log "Failed  : $FAILED"
log "Log File: $LOG_FILE"
log "======================================"

2/24/2026

claude code + LM Studio ( almost same with Ollama )

>>클로드 코드 

환경변수 지정

 

리눅스 환경 사용

export ANTHROPIC_BASE_URL=http://localhost:1234

export  ANTHROPIC_AUTH_TOKEN="any"

 

윈도우 11 계열.

set ANTHROPIC_BASE_URL=hjttp://localhost:1234

set  ANTHROPIC_AUTH_TOKEN="any"

 

 

claude --model  https://lmstudio.ai/models/zai-org/glm-4.7-flash

 

>> 문제점

로컬 ai모델 적용할때 VRAM, GPU 성능에 따라 유용하게 사용 가능. 

 

10/30/2025

선형대수학 기초 사이트.


>> 선형대수학 친절한 안내.


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