Code Llama from Meta is a specialised version of Llama fine-tuned specifically for code generation, completion, and debugging across dozens of programming languages. It's the go-to open-source coding model for developers who want to keep their code private.
Askimo App gives Code Llama a complete developer workspace: persistent chat history, local file search (RAG for your codebase), code block execution, AI Plans for automated coding workflows, and seamless switching between Code Llama and cloud coding models, all in one native app.
Code Llama is Meta's family of open-weight models specialised for code generation and understanding. Built on Llama 2 with additional code-specific training, it's available in base, instruct, and Python-focused variants across 7B, 13B, 34B, and 70B sizes. Code Llama runs locally via Ollama and supports completion, infilling, and chat-based coding workflows.
Developer
Meta
License
Llama Community License
Best For
Code generation and completion
Askimo is not just a chat interface. It's a full coding workspace with Code Llama as a first-class provider — RAG over your codebase, code block execution, and multi-step coding Plans.
Built as a true desktop app for macOS, Windows, and Linux. Fast, responsive, and works fully offline with no browser or server required.
Seamless model selection, endpoint configuration, and switching. See the Ollama provider setup guide for full details.
Index your project files, PDFs, and documents with Apache Lucene + jvector. The model answers questions grounded in your own knowledge base.
Use the visual interface for daily work and the Askimo CLI for scripting and automation. Same provider config, seamless switching.
Chain multiple prompts into automated workflows (research, summarise, write) all in one click. No copy-pasting between windows.
All conversations and files stay on your device. No telemetry, no cloud sync, no data collection. Learn more about Askimo security.
Running Code Llama through Askimo takes under 5 minutes.
Run ollama pull codellama (or codellama:34b for higher quality) in your terminal.
Launch Askimo App and choose Ollama as your provider. Set the endpoint to http://localhost:11434.
Select Code Llama from the model list. Index your project files with RAG to get context-aware answers, or use code block execution to run generated code instantly.
CLI example:
askimo --provider ollama --model codellama -p "Write a Python function to parse JSON" A fair feature comparison of the three most common ways to run Code Llama locally in 2026.
| Feature | Askimo App | Ollama CLI | Open WebUI |
|---|---|---|---|
| Visual chat interface | |||
| RAG (chat with your own files) | |||
| Multi-provider support (Ollama + cloud) | |||
| Conversation history and search | |||
| Open source (OSI-approved license) | |||
| Run models fully locally (100% private) | |||
| Native desktop app (no server or browser) | |||
| Works fully offline (no server process) | |||
| CLI interface for scripting | |||
| Local code block execution (Python, Bash) | |||
| MCP tools (file, git, web, APIs) | Partial | ||
| AI Plans (chained multi-step prompts) | |||
| Server-side pipelines / automation | Team edition (coming soon) | ||
| Multi-user / team features | Team edition (coming soon) | ||
| Web browser access (no app install) |
checkmark = included · x = not available · text = partial support. Based on publicly documented features as of 2026. Open WebUI uses a proprietary license (not OSI open source). Ollama CLI is open source (MIT).
Real coding workflows that benefit from a private local AI coding assistant.
Paste proprietary code into Askimo and get Code Llama to review it for bugs, style issues, and security problems — without sending a single line to any cloud service.
Index your entire project directory with Askimo RAG. Ask Code Llama questions about your codebase and get answers grounded in your actual code, all offline.
Build AI Plans that chain Code Llama prompts: analyse requirements, generate code, write tests, and produce documentation — all in a single automated run.
Common questions about running Code Llama locally with a desktop GUI.
Askimo App is the most full-featured desktop client for Code Llama in 2026. It provides a native app for macOS, Windows, and Linux with local RAG over your codebase, code block execution, AI Plans for multi-step coding workflows, and the ability to switch between Code Llama and cloud coding models like Claude or GPT — all in one app.
Code Llama is purpose-built for code generation and completion, with excellent support for a wide range of languages. DeepSeek-Coder tends to outperform Code Llama on many benchmarks in 2026. Both are excellent choices — Askimo lets you run both and switch per-conversation to use each model's strengths.
Yes. Askimo's built-in RAG indexes your project directory using Apache Lucene and jvector. Code Llama can then answer questions about your codebase, suggest improvements, and generate code that's consistent with your existing patterns — all offline.
Code Llama 7B is fast and works on most hardware. 13B provides a good quality/speed balance. 34B delivers the best results but requires 24GB+ RAM. The 70B model rivals closed-source quality but needs high-end hardware. All sizes appear in Askimo once pulled with Ollama.
Yes. Code Llama runs 100% locally via Ollama. Askimo adds no cloud sync or telemetry. Your source code, queries, and generated output never leave your machine. This makes it ideal for proprietary codebases and companies with strict data security policies.
Step-by-step instructions for connecting Ollama to Askimo App.
Another top-tier coding model for local use via Ollama.
Run Meta's general-purpose Llama models locally.
Compare Askimo, LM Studio, and Open WebUI for running Ollama locally.
Free • Open Source • Privacy-First • Works Offline