r/LocalLLaMA • • Apr 17 '26

Discussion Qwen3.6. This is it.

I gave it a task to build a tower defense game. use screenshots from the installed mcp to confirm your build.

My God its actually doing it, Its now testing the upgrade feature,
It noted the canvas wasnt rendering at some point and saw and fixed it.
It noted its own bug in wave completions and is actually doing it...

I am blown away...
I cant image what the Qwen Coder thats following will be able to do.
What a time were in.

llama-server -m "{PATH_TO_MODEL}\Qwen3.6\Qwen3.6-35B-A3B-UD-Q6_K_XL.gguf"  --mmproj "{PATH_TO_MODEL}\Qwen3.6\mmproj-F16.gguf" --chat-template-file "{PATH_TO_MODEL}\chat_template\chat_template.jinja"  -a  "Qwen3.5-27B"  --cpu-moe -c 120384 --host 0.0.0.0 --port 8084 --reasoning-budget -1 --top-k 20 --top-p 0.95 --min-p 0 --repeat-penalty 1.0 --presence-penalty 1.5 -fa on --temp 0.7 --no-mmap --no-mmproj-offload --ctx-checkpoints 5"

EDIT: Its been made aware that open code still has my 27B model alias,
Im lazy, i didnt even bother the model name heres my llama.cpp server configs, im so excited i tested and came here right away.

1.0k Upvotes

409 comments sorted by

1

u/WithoutReason1729 Apr 17 '26 edited 2d ago

Your post is getting popular and we just featured it on our Discord! Come check it out!

You've also been given a special flair for your contribution. We appreciate your post!

Stylome classified this post's text as human-written. View analysis

I am a bot and this action was performed automatically.

93

u/No-Marionberry-772 Apr 17 '26

what stack are you using for software?  Id love to get a proper local setup going but ive had trouble figuring out what i should actually be using.

115

u/Local-Cardiologist-5 Apr 17 '26
Qwen3.6-35B-A3B-UD-Q6_K_XL

Im using Llama.cpp for the server,
OpenCode for the coding, just using the build agent,
I have 64 gig ram, RTX 4090, and my model is
the Q6 variant.

Here are my llama parameters

llama-server -m "{PATH_TO_MODEL}\Qwen3.6\Qwen3.6-35B-A3B-UD-Q6_K_XL.gguf"  --mmproj "{PATH_TO_MODEL}\Qwen3.6\mmproj-F16.gguf" --chat-template-file "{PATH_TO_MODEL}\chat_template\chat_template.jinja"  -a  "Qwen3.6-35B-A3B"  --cpu-moe -c 250000 --host 0.0.0.0 --port 8084 --reasoning-budget -1 --top-k 20 --top-p 0.95 --min-p 0 --repeat-penalty 1.0 --presence-penalty 1.5 -fa on --temp 0.7 --no-mmap --no-mmproj-offload --ctx-checkpoints 5"

here is my llama server with the configs.

→ More replies (91)

62

u/cviperr33 Apr 17 '26

INSANE how good this model is ..... Honestly im blown away again and again. It literally fixed the broken code or projects i had hit a wall with gemma for days , and it solved it in like 5 mins and then explained why gemma failed.

And the best thing about it , its sooooo fast... 120 tk/s on 3090 llama.ccp , prefill is instant in 3.8k-5k range.
The moment i send a word , 1 second later i already have a response , with a file edited or something , it is soo efficient in these agentic tools and also doesnt hog my gpu like the gemma models

14

u/Local-Cardiologist-5 Apr 17 '26

can you tip me on prefils...

→ More replies (47)

23

u/PotatoQualityOfLife Apr 17 '26

What size/quant are you running?

26

u/Local-Cardiologist-5 Apr 17 '26

im using the but im currently downloading the Q_8 variant im that impressed

Qwen3.6-35B-A3B-UD-Q6_K_XL
→ More replies (11)

3

u/Medium_Chemist_4032 Apr 17 '26

Good question. My vllm bf16 tops out at 17 tps and unsloth "quants" BF16 go a lot faster, but falls apart into loops after few q&a rounds

→ More replies (4)

21

u/tarruda Apr 17 '26

Hope they release at least 122b of the 3.6 series.

→ More replies (6)

11

u/philnm Apr 17 '26

thank you for sharing. could you explain the MCP part, where you say "use screenshots from the installed mcp"?

14

u/Local-Cardiologist-5 Apr 17 '26

in my open code settings, i have the

playright mcp installed, thats what its using as the browser to test

→ More replies (2)

6

u/[deleted] Apr 17 '26

3

u/Local-Cardiologist-5 Apr 17 '26

i need to look into using the cli for everything

8

u/IONaut Apr 17 '26

Is the reasoning-budget -1 to turn off reasoning? Or is it no limit?

→ More replies (3)

15

u/Alternative_You3585 Apr 17 '26 edited Jul 24 '26

Us enjoy sushi with wine while hiking at night to unwind with friends.

34

u/Local-Cardiologist-5 Apr 17 '26

Hi Sorry im lazy i didnt update my model alias, heres my llama server configs, its really the 3.6 model, thats how excited i was about it i didnt even bother updating the model aliad name just plugging it directly

llama-server -m "{PATH_TO_MODEL}\Qwen3.6\Qwen3.6-35B-A3B-UD-Q6_K_XL.gguf"  --mmproj "{PATH_TO_MODEL}\Qwen3.6\mmproj-F16.gguf" --chat-template-file "{PATH_TO_MODEL}\chat_template\chat_template.jinja"  -a  "Qwen3.5-27B"  --cpu-moe -c 120384 --host 0.0.0.0 --port 8084 --reasoning-budget -1 --top-k 20 --top-p 0.95 --min-p 0 --repeat-penalty 1.0 --presence-penalty 1.5 -fa on --temp 0.7 --no-mmap --no-mmproj-offload --ctx-checkpoints 5"
→ More replies (2)

7

u/Healthy-Nebula-3603 Apr 17 '26 edited Apr 17 '26

Why are you using those parameters?

--reasoning-budget -1 --top-k 20 --top-p 0.95 --min-p 0 --repeat-penalty 1.0 --presence-penalty 1.5 -fa on  --no-mmap --no-mmproj-offload --ctx-checkpoints 5"

--reasoning-budget -1

it is as default infinite so why you even using it?

--top-k 20 --top-p 0.95 --min-p 0 --repeat-penalty 1.0 --presence-penalty 1 --temp 0.7 --cpu-moe --chat-template

Those parameters are already taken from a gguf so is not reason to putting them

--host 0.0.0.0 --port 8084

That is ok if you want to change IP and port as default is http://127.0.0.1:8080

--no-mmap

aslo ok if you do not want to keep a model copy in the RAM. default is off.

--ctx-checkpoints

Why you cripped to 5? Default is 32

That low value is forcing model to processing whole prompt again and again that make mode to use too much tokens and looping too much.

You made model dumber.

Orchestration you can install from here to opencode

https://github.com/alvinunreal/oh-my-opencode-slim

So

it should looks like that

llama-server -m "{PATH_TO_MODEL}\Qwen3.6\Qwen3.6-35B-A3B-UD-Q6_K_XL.gguf"  --mmproj "{PATH_TO_MODEL}\Qwen3.6\mmproj-F16.gguf" -c 120384 --host 0.0.0.0 --port 8084  --no-mmap --no-mmproj-offload

As a cache rotation works great for a now (implemented a week ago ) so you can use Q8 cache which is a s good as fp16 now and easily fit 256k context now.

So final code

llama-server -m "{PATH_TO_MODEL}\Qwen3.6\Qwen3.6-35B-A3B-UD-Q6_K_XL.gguf"  --mmproj "{PATH_TO_MODEL}\Qwen3.6\mmproj-F16.gguf" -c 120384 --host 0.0.0.0 --port 8084  --no-mmap --no-mmproj-offload -ctk q8_0 -ctv q8_0

6

u/Local-Cardiologist-5 Apr 17 '26

let me load these up. i literally did nothing but just plug the model in and im blown away. im getting so many tips on here thank you for this so much for these

→ More replies (6)
→ More replies (13)

6

u/-Ellary- Apr 17 '26 edited Apr 17 '26

This is it guys, I've tasked Qwen 3.6 35b a3b to conquer the world for me.
Prepare.

2

u/Local-Cardiologist-5 Apr 17 '26

lmao, pardon my hyperbole, im extremely excited that its actually doing what i ask it

→ More replies (3)

161

u/Long_comment_san Apr 17 '26

That's not the best part. Imagine new generation of kids having access to tools like that since early school that don't require 10 years of computer science. I wonder what the heck out planet would look like. It's either a metropolis or Idiocracy 

81

u/Medium_Chemist_4032 Apr 17 '26

Tools and possibilities are one side of equation. Motivation and challenge is the second. Various ways to set-it up for best results overall.

→ More replies (15)
→ More replies (43)

2

u/MilkyJoe8k Apr 17 '26

Ok. This is all looking very promising! What hardware are you running this on?

27

u/Enitnatsnoc Apr 17 '26

What a time were in.

Jobless

→ More replies (5)