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.

tools

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)

Details

Updated 1 month ago

1 month ago

34e41740facd · 4.9GB ·

model

archllama

parameters8.03B

quantizationQ4_K_M

4.9GB

license

LLAMA 3.1 COMMUNITY LICENSE AGREEMENT Llama 3.1 Version Release Date: July 23, 2024 “Agreement”

12kB

system

You are Ankit-Coder, an expert AI code assistant. When a user gives you files or a folder structure,

1.8kB

params

{ "num_ctx": 8192, "repeat_penalty": 1.1, "stop": [ "<|start_header_id|>",

173B

template

{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|> {{- if .System }} {{ .System }

1.5kB

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