AIML ‐ LLM - FullstackCodingGuy/Developer-Fundamentals GitHub Wiki

Here's a comprehensive comparison of the latest popular Large Language Models (LLMs), covering their use cases, applications, performance, server requirements, and implementation challenges.

• Best for Business/Enterprise AI? → GPT-4 Turbo, Claude 3
• Best Open-Source Alternative? → Mixtral 8x7B
• Best for Local AI Deployment? → Mistral 7B
• Best for Image + Video AI? → Gemini 1.5
• Best for Real-Time AI Apps? → Mistral 7B, Mixtral 8x7B

If you want an ultra-fast open-source model that excels at:

✅ Text conversation (chat, human-like responses)
✅ Real-world conversations (natural dialogue, reasoning)
✅ Coding & technical queries (programming help, debugging)

Here are the best ultra-fast models based on benchmarks:

🚀 Ultra-fast, optimized, and great for real-world chat & coding

• Pros:
  ✅ Extremely fast inference (optimized for CPU & GPU)
  ✅ Fine-tuned for real-world conversations
  ✅ Strong at code generation & debugging
  ✅ Optimized for low memory (2B = 4GB RAM, 7B = 16GB RAM)
• Best for:
  🔹 Chatbots, customer support, coding help, technical Q&A
• Speed Rank: ⚡⚡⚡⚡⚡ (one of the fastest available)

🔹 Try it: Available in Hugging Face and Google Vertex AI

🔥 High-quality answers, fast inference, excellent for developers

• Pros:
  ✅ Mistral 7B → Super fast, small size, great for tech queries
  ✅ Mixtral 8x7B → MoE (Mixture of Experts), superior code generation
  ✅ Open-weight, better than LLaMA-2-13B but smaller
  ✅ Optimized for real-time chat and programming
• Best for:
  🔹 Dev assistants, Stack Overflow-style Q&A, code explanations
• Speed Rank: ⚡⚡⚡⚡ (Mistral 7B) / ⚡⚡⚡ (Mixtral 8x7B, needs more memory)

🔹 Try it: Works with GGUF quantization (runs on laptops & servers)

🧠 Next-gen Meta model with improved reasoning & conversation

• Pros:
  ✅ Expected to be faster than LLaMA 2
  ✅ Meta’s best open-source model yet
  ✅ Likely optimized for real-world & AI assistants
• Best for:
  🔹 AI-powered personal assistants, intelligent chatbots
• Speed Rank: TBD, but expected to be ⚡⚡⚡⚡⚡

🔹 Release Date: Q2 2025

📱 Super lightweight, optimized for mobile & edge devices

• Pros:
  ✅ Super-efficient for small devices (2B model)
  ✅ Microsoft’s best tiny model for real-world chat & code
  ✅ Expected to outperform Gemma 2B in chat + coding
• Best for:
  🔹 AI-powered assistants on mobile, Raspberry Pi, edge devices
• Speed Rank: ⚡⚡⚡⚡⚡

🔹 Release Date: April 2025

🔹 Best for Speed? Gemma 2B
🔹 Best for Coding & Tech Queries? Mistral 7B / Mixtral
🔹 Best for Real Conversations? LLaMA 3 (Upcoming)
🔹 Best for Small Devices? Phi-3 (Upcoming)

💡 Want help setting up a fast AI assistant? 🚀

Run this in your favorite terminal

To view the list of models installed

ollama list

To run the selected model

ollama run llama3.2

ollama serve

{
  "model": "mistral",
  "prompt": "What is the capital of France?",
  "stream": false
}

{
  "response": "The capital of France is Paris.",
  "model": "mistral",
  "done": true
}

{
  "models": [
    {
      "name": "mistral",
      "digest": "sha256:abc123...",
      "modified_at": "2024-03-01T12:00:00Z"
    }
  ]
}

{
  "name": "llama3"
}

{
  "status": "success"
}

{
  "model": "mistral",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "What are the benefits of AI?"
    }
  ]
}

{
  "response": "AI offers benefits like automation, efficiency, and scalability.",
  "done": true
}

{
  "info": {
    "_postman_id": "ollama_api",
    "name": "Ollama API",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "item": [
    {
      "name": "Generate Chat Response",
      "request": {
        "method": "POST",
        "header": [
          { "key": "Content-Type", "value": "application/json" }
        ],
        "url": { "raw": "http://localhost:11434/api/generate", "host": ["http://localhost:11434"], "path": ["api", "generate"] },
        "body": {
          "mode": "raw",
          "raw": "{\"model\": \"mistral\", \"prompt\": \"What is AI?\", \"stream\": false }"
        }
      }
    },
    {
      "name": "List Available Models",
      "request": {
        "method": "GET",
        "url": { "raw": "http://localhost:11434/api/tags", "host": ["http://localhost:11434"], "path": ["api", "tags"] }
      }
    },
    {
      "name": "Pull New Model",
      "request": {
        "method": "POST",
        "header": [
          { "key": "Content-Type", "value": "application/json" }
        ],
        "url": { "raw": "http://localhost:11434/api/pull", "host": ["http://localhost:11434"], "path": ["api", "pull"] },
        "body": {
          "mode": "raw",
          "raw": "{\"name\": \"llama3\" }"
        }
      }
    },
    {
      "name": "Chat with System Message",
      "request": {
        "method": "POST",
        "header": [
          { "key": "Content-Type", "value": "application/json" }
        ],
        "url": { "raw": "http://localhost:11434/api/generate", "host": ["http://localhost:11434"], "path": ["api", "generate"] },
        "body": {
          "mode": "raw",
          "raw": "{\"model\": \"mistral\", \"messages\": [{ \"role\": \"system\", \"content\": \"You are a helpful assistant.\" }, { \"role\": \"user\", \"content\": \"Explain machine learning.\" }]}"
        }
      }
    }
  ]
}

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