How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RikZD/znx-coder-v1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RikZD/znx-coder-v1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RikZD/znx-coder-v1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RikZD/znx-coder-v1:Q4_K_M
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf RikZD/znx-coder-v1:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RikZD/znx-coder-v1:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf RikZD/znx-coder-v1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RikZD/znx-coder-v1:Q4_K_M
Use Docker
docker model run hf.co/RikZD/znx-coder-v1:Q4_K_M
Quick Links

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

license: apache-2.0 base_model: Qwen/Qwen2.5-Coder-3B tags: - qwen2.5 - qwen2.5-coder - coding - fine-tuned - qlora - gguf language: - id - en

âš¡ ZNX-Coder-v1

ZNX-Coder-v1 is a fine-tuned coding AI built on top of Qwen2.5-Coder-3B, developed by ZNX-ai (Zenith System).

Specialized for code generation, debugging, and programming assistance in both English and Indonesian.

Model Details

Base Model Qwen/Qwen2.5-Coder-3B
Fine-tune Method QLoRA (r=32, alpha=64)
Epochs 3
Learning Rate 2e-5
Hardware NVIDIA T4
Developer ZNX-ai
Website ZenithSystem.netlify.app

Files

File Description
znx-coder-v1-Q4_K_M.gguf 4-bit quantized GGUF — ready to run with llama.cpp
adapter/ LoRA adapter weights

Quickstart

llama.cpp

./llama-cli -m znx-coder-v1-Q4_K_M.gguf \
    --chat-template chatml \
    -cnv

Python

from llama_cpp import Llama
from huggingface_hub import hf_hub_download

model_path = hf_hub_download(
    repo_id="RikZD/znx-coder-v1",
    filename="znx-coder-v1-Q4_K_M.gguf"
)

llm = Llama(model_path=model_path, n_ctx=2048)

response = llm.create_chat_completion(
    messages=[
        {
            "role": "system",
            "content": "You are ZNX-Coder-v1, a coding AI developed by Zenith System."
        },
        {
            "role": "user",
            "content": "Write a fibonacci function in Python"
        }
    ],
    temperature=0.1,
    max_tokens=512,
)
print(response["choices"][0]["message"]["content"])

System Prompt

You are ZNX-Coder-v1, a coding AI based on Qwen2.5-Coder-3B,
fine-tuned by Zenith System.

Limitations

  • Small training dataset (121 conversations) — occasional hallucinations may occur
  • Optimized primarily for Indonesian language interactions
  • Focused on coding tasks, not general-purpose assistant

License

Apache 2.0 ```

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GGUF
Model size
3B params
Architecture
qwen2
Hardware compatibility
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4-bit

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