qwen3.6:35b-a3b-nvfp4

10.3K 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-nvfp4

curl http://localhost:11434/api/chat \
  -d '{
    "model": "qwen3.6:35b-a3b-nvfp4",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='qwen3.6:35b-a3b-nvfp4',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'qwen3.6:35b-a3b-nvfp4',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 19 hours ago

19 hours ago

1b50c6fdc2d4 · 22GB ·

json

{ "architectures": [ "Qwen3_5MoeForConditionalGeneration" ], "image_token_id": 248056, "model_type":

3.7kB

json

{"framework":"Pytorch","task":"visual-question-answering"}

58B

json

{ "bos_token_id": 248044, "do_sample": true, "eos_token_id": [ 248046, 248044 ], "pad_token_id": 248

202B

json

{ "size": { "longest_edge": 16777216, "shortest_edge": 65536 }, "patch_size": 16, "temporal_patch_si

390B

json

{ "version": "1.0", "truncation": null, "padding": null, "added_tokens": [ { "id": 248044, "content"

13MB

json

{ "add_prefix_space": false, "added_tokens_decoder": { "248044": { "content": "<|endoftext|>", "lstr

15kB

json

{ "size": { "longest_edge": 25165824, "shortest_edge": 4096 }, "patch_size": 16, "temporal_patch_siz

385B

json

{ "!": 0, "\"": 1, "#": 2, "$": 3, "%": 4, "&": 5, "'": 6, "(": 7, ")": 8, "*": 9, "+": 10, ",": 11,

6.7MB

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

986 tensors

22GB

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.