---
license: apache-2.0
language:
- en
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
pipeline_tag: text-generation
tags:
- code
- coding-assistant
- llama-cpp
- gguf
- ciphercode
- vscode
- developer-tools
library_name: gguf
---

# CipherModel-1.5B

> **Your IDE's new best friend.**
> The model behind [CipherCode](https://huggingface.co/guhantech) — the AI coding assistant that learns *your* style, remembers *your* projects, and writes code in *your* voice.
>
> By **Lila AI LLC** · Closed beta v0.1

---

## What CipherCode Delivers

CipherCode isn't another generic completion plugin. It's a complete coding companion that lives natively inside VS Code and adapts to *you*.

### Cipher Persona — Your Style, Learned

The first time you open a workspace, CipherCode silently scans your code and detects:

- Naming conventions (camelCase / snake_case / PascalCase)
- Function style (arrow vs named declarations)
- Async style (async/await vs `.then`)
- Comment placement and verbosity
- Indent size, semicolon preference, type-annotation density
- Your most-used libraries and imports

From that moment forward, every suggestion is generated to feel like *you* wrote it. Nothing leaves your machine — Persona lives entirely in VS Code's `globalState`.

### Project Memory — Continuity That Actually Helps

CipherCode remembers your project across sessions:

| What's tracked | Where |
|---|---|
| Project summary (auto-detected from `package.json` / README) | `.vscode/cipher-memory.json` |
| Project type (`node` / `python` / `other`) | local |
| Top 10 most-edited files | local |
| Architectural decisions you've made | local |
| Last 20 chat messages | local |
| Recurring patterns in your code | local |

This context is injected into every prompt, so when you come back tomorrow, the model already knows what you're building.

### Smart Commands

Right-click anywhere in your editor:

- **Explain Code** — clear summary of what's happening, even without a selection
- **Refactor Code** — clean up while preserving your style
- **Fix Bug** — find and patch issues, style-matched
- **Add Comments** — comment in your voice
- **Document This File** — language-aware doc comments (TSDoc / JSDoc / Google Python / Javadoc / XMLDoc / Doxygen / godoc / rustdoc / PHPDoc / YARD)
- **Generate README from Project** — full README from your code structure

Plus an inline chat sidebar with persistent history, code-block copy buttons, "Insert at cursor" actions, and a stop button that actually stops.

### Privacy by Architecture

- Code stays on your machine — only the snippet you act on hits inference
- Persona never leaves your laptop
- Project memory lives in your workspace, not a Lila AI server
- Self-hostable on your own GCP if you want full ownership
- No telemetry, no accounts, no subscription

---

## Powered By

Built on **[Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)** — Alibaba's state-of-the-art open code model — quantized to **Q4_K_M** for efficient CPU inference and packaged for deployment via `llama.cpp`.

The intelligence in CipherCode comes from layering Persona detection, Project Memory, and carefully designed prompt templates on top of a strong base. The CipherCode VS Code extension orchestrates all of it; this repo hosts the weights it serves.

A LoRA fine-tune is on the roadmap for v0.2 — trained on real-world IDE workflow patterns collected during the closed beta.

## Specifications

| | |
|---|---|
| **Architecture** | Qwen2.5-Coder transformer |
| **Parameters** | 1.5 B |
| **Context window** | 32 K (production runs at 4 K for efficiency) |
| **Quantization** | Q4_K_M |
| **File size** | 1.07 GB |
| **License** | Apache 2.0 — free for commercial use |
| **Strong languages** | Python, JavaScript, TypeScript, Java, Go, Rust, C/C++ |

## Quick Start

### Easy path — install the VS Code extension

If Lila AI sent you the closed-beta `.vsix`:

```bash
code --install-extension ciphercode-0.1.0.vsix
```

Open VS Code. Welcome walkthrough opens automatically. Start typing. No setup, no token, no GCP.

### Hands-on path — run the model locally

```bash
# Pull the GGUF
hf download guhantech/CipherModel-1.5B \
  CipherModel-1.5B-Q4_K_M.gguf --local-dir .

# Serve with llama-server
llama-server \
  -m CipherModel-1.5B-Q4_K_M.gguf \
  --host 0.0.0.0 --port 8080 \
  --ctx-size 4096 -np 5

# Make a request
curl -X POST http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "cipher-model",
    "messages": [{"role":"user","content":"write a python fizzbuzz"}],
    "max_tokens": 256
  }'
```

### Python (`llama-cpp-python`)

```python
from llama_cpp import Llama

llm = Llama(model_path="CipherModel-1.5B-Q4_K_M.gguf", n_ctx=4096)
out = llm("def fizzbuzz(n):", max_tokens=256)
print(out["choices"][0]["text"])
```

## Roadmap

| Version | Status | What's in it |
|---|---|---|
| **v0.1** | Live | Closed beta. Cipher Persona + Project Memory + 11 commands + chat sidebar. |
| **v0.2** | Planned | LoRA fine-tune on collected IDE workflows. Better instruction-following. |
| **v0.3** | Planned | Multi-file context awareness. Whole-project doc generation. |
| **v1.0** | Planned | Public Marketplace launch. Optional hosted Pro tier for zero-setup. |

## Citation

```bibtex
@article{hui2024qwen2,
  title={Qwen2.5-Coder Technical Report},
  author={Hui, Binyuan and Yang, Jian and Cui, Zeyu and others},
  journal={arXiv preprint arXiv:2409.12186},
  year={2024}
}
```

## Trademark

**CipherCode** and **Cipher Persona** are trademarks of **Lila AI LLC**. All rights reserved.

The model weights are released under Apache 2.0 — free to use, modify, and redistribute. Trademarks restrict only how you may name and brand derivative work; the underlying weights remain unrestricted.

---

<sub>© 2026 Lila AI LLC · Built for developers who don't want their AI to sound like Stack Overflow.</sub>