dodo_rubics_cube/dodocoder

dodo_rubics_cube/ dodocoder

17 Downloads Updated 3 weeks ago

An autocompletion model that mimics my personal python coding style.

tools 0.5b 3.1b

ollama run dodo_rubics_cube/dodocoder

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

from ollama import chat

response = chat(
    model='dodo_rubics_cube/dodocoder',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

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

Applications

Claude Code

Claude Code ollama launch claude --model dodo_rubics_cube/dodocoder

Codex App

Codex App ollama launch codex-app --model dodo_rubics_cube/dodocoder

OpenClaw

OpenClaw ollama launch openclaw --model dodo_rubics_cube/dodocoder

Hermes Agent

Hermes Agent ollama launch hermes --model dodo_rubics_cube/dodocoder

Codex

Codex ollama launch codex --model dodo_rubics_cube/dodocoder

OpenCode

OpenCode ollama launch opencode --model dodo_rubics_cube/dodocoder

Models

Name

3 models

Size / Usage

Context

Input

dodocoder:latest

1.4GB · 32K context window · Text · 3 weeks ago

dodocoder:latest

1.4GB

32K

Text

dodocoder:0.5b

1.4GB · 32K context window · Text · 3 weeks ago

dodocoder:0.5b latest

1.4GB

32K

Text

dodocoder:3.1b

8.1GB · 32K context window · Text · 3 weeks ago

dodocoder:3.1b

8.1GB

32K

Text

Readme

I gathered all my python projekts and used them to train this AI. For base I used:

qwen2.5-coder:0.5b-instruct and qwen2.5-coder:3b-instruct.

Feel free to use this model whereever you wan’t.

I made this model to learn how to finetune models.