ollama - 💡(How to fix) Fix Unable to stop deleted model [4 comments, 2 participants]

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ollama/ollama#15078Fetched 2026-04-08 01:36:29
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4
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2
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Code Example

[GIN] 2026/03/26 - 21:31:31 | 200 |    529.6728ms |       127.0.0.1 | DELETE   "/api/delete"
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What is the issue?

<img width="876" height="156" alt="Image" src="https://github.com/user-attachments/assets/89204d84-fb98-45d1-808c-f053c3618ff5" />

Relevant log output

[GIN] 2026/03/26 - 21:31:31 | 200 |    529.6728ms |       127.0.0.1 | DELETE   "/api/delete"

OS

Windows

GPU

Nvidia

CPU

Intel

Ollama version

0.18.3

extent analysis

Fix Plan

The issue appears to be related to a slow API response time. To address this, we will implement the following steps:

  • Optimize database queries to reduce latency
  • Implement caching to reduce the number of database queries
  • Use asynchronous programming to improve concurrency

Example Code

To optimize database queries, we can use indexing and limit the amount of data retrieved. For example, using Golang and GIN framework:

package main

import (
	"github.com/gin-gonic/gin"
	"gorm.io/driver/mysql"
	"gorm.io/gorm"
)

// Define a struct for the data
type Data struct {
	ID   int    `json:"id"`
	Name string `json:"name"`
}

func main() {
	// Connect to the database
	db, err := gorm.Open(mysql.Open("user:password@tcp(127.0.0.1:3306)/database"), &gorm.Config{})
	if err != nil {
		panic(err)
	}

	// Create a GIN router
	r := gin.Default()

	// Define a route for the API
	r.DELETE("/api/delete", func(c *gin.Context) {
		// Use a more efficient database query
		var data []Data
		db.Limit(10).Find(&data)
		// Process the data
		c.JSON(200, data)
	})

	// Run the server
	r.Run(":8080")
}

To implement caching, we can use a library like Redis. For example:

import (
	"github.com/go-redis/redis/v8"
)

func main() {
	// Connect to Redis
	client := redis.NewClient(&redis.Options{
		Addr:     "localhost:6379",
		Password: "",
		DB:       0,
	})

	// Define a route for the API
	r.DELETE("/api/delete", func(c *gin.Context) {
		// Check if the data is cached
		val, err := client.Get("data").Result()
		if err != nil {
			// If not cached, retrieve from database and cache
			var data []Data
			db.Limit(10).Find(&data)
			client.Set("data", data, 0)
			c.JSON(200, data)
		} else {
			// If cached, return the cached data
			c.JSON(200, val)
		}
	})
}

Verification

To verify that the fix worked, we can monitor the API response time and check the logs for any errors. We can also use tools like Redis Insights to monitor the caching performance.

Extra Tips

  • Make sure to adjust the caching expiration time according to the data update frequency.
  • Consider using a more robust caching solution like Redis Cluster for high-traffic applications.
  • Monitor the database performance and adjust the indexing and querying strategies as needed.

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