Attempt at using the ministral-3:8b reasoning version for coding tasks.

vision tools thinking 3b 8b

ollama run pstdio/microcoder:3b

curl http://localhost:11434/api/chat \
  -d '{
    "model": "pstdio/microcoder:3b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='pstdio/microcoder:3b',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'pstdio/microcoder:3b',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

View all →

Name

2 models

Size

Context

Input

microcoder:3b

7.7GB · 256K context window · Text, Image · 2 days ago

microcoder:3b

7.7GB

256K

Text, Image

microcoder:8b

18GB · 256K context window · Text, Image · 2 days ago

microcoder:8b

18GB

256K

Text, Image

Readme

Microcoder

Attempt at using the ministral-3:8b model for coding tasks.

Defaulting to the BF16 version due to reported issues with quantization.

Updated token input length (will use more Memory). By default ollama caps it at 4k which is too small for tool use / coding agent setups.

ollama run pstdio/microcoder:8b
/set parameter num_ctx 16384

To add the model to opencode, run:

ollama launch opencode --config