qwen3.6:35b-a3b-q4_K

qwen3.6:35b-a3b-q4_K_M

10.5K Downloads Updated 19 hours ago

Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.

vision tools thinking

ollama run qwen3.6:35b-a3b-q4_K_M

curl http://localhost:11434/api/chat \
  -d '{
    "model": "qwen3.6:35b-a3b-q4_K_M",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='qwen3.6:35b-a3b-q4_K_M',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'qwen3.6:35b-a3b-q4_K_M',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 19 hours ago

19 hours ago

07d35212591f · 24GB ·

model

archqwen35moe

parameters36B

quantizationQ4_K_M

24GB

license

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US

11kB

params

{ "min_p": 0, "presence_penalty": 1.5, "repeat_penalty": 1, "temperature": 1, "t

94B

Readme

Following the February release of the Qwen3.5 series, we’re pleased to share the first open-weight variant of Qwen3.6. Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.

Qwen3.6 Highlights

This release delivers substantial upgrades, particularly in

Agentic Coding: the model now handles frontend workflows and repository-level reasoning with greater fluency and precision.
Thinking Preservation: we’ve introduced a new option to retain reasoning context from historical messages, streamlining iterative development and reducing overhead.