A concise, root-cause-first coding assistant built on Qwen2.5-Coder 7B. Debug and generate code with zero filler — runs entirely locally via Ollama.

ollama run sssonusharma1999/ankit-coder

curl http://localhost:11434/api/chat \
  -d '{
    "model": "sssonusharma1999/ankit-coder",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='sssonusharma1999/ankit-coder',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'sssonusharma1999/ankit-coder',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

1 model

Size / Usage

Context

Input

ankit-coder:latest

4.7GB · 32K context window · Text · 2 weeks ago

ankit-coder:latest

4.7GB

32K

Text

Readme

ankit-coder

A focused, no-filler coding assistant. Built on Qwen2.5-Coder 7B with a custom system prompt and parameter tuning that biases the model toward direct, root-cause-first answers and clean, idiomatic code.

Designed to replace the need for a paid Claude / GPT subscription for everyday debugging and code generation. Runs entirely on your own machine.

Quick start

”`bash ollama pull sssonusharma1999/ankit-coder ollama run sssonusharma1999/ankit-coder