Instructions to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Ollama
How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with Ollama:
```
ollama run hf.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M
```
Unsloth Desktop

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with Docker Model Runner:
```
docker model run hf.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M
```

Lemonade

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

New discussion

Resources

View closed (11)

12+12 coming soon ... Now avail - 5 reasoning modes, 5 instruct modes: New Version "TWIN TURBO" Qwen3.8 27B ; a preview of what is to come...

pinned

🔥 7

#45 opened about 2 months ago by

DavidAU

We benched 20+ local models on a 320-tool agent harness — DavidAU's TURBO-Fable-735 (27B) matches our all-time champion at 1/40th the thinking tokens

pinned

❤️👍 12

#36 opened about 2 months ago by

Jakaryun

Magical!!

pinned

❤️👍 16

#27 opened about 2 months ago by

techmeister2233

Very effective

pinned

❤️👍 3

#21 opened about 2 months ago by

Throghar

simply phenomenal

pinned

👍❤️ 5

#16 opened 2 months ago by

privacydied

Really direct model

pinned

👍➕ 5

#12 opened 2 months ago by

mythrime

VERSION: NVFP4 HERE // will you make a nvfp4 gguf?

pinned

👍 4

#11 opened 2 months ago by

spideytznn

Thinking is ABSOLUTELY NIGHT AND DAY vs other 3.8s

pinned

👍❤️ 5

#7 opened 2 months ago by

rdent27

We have Opus at home!

pinned

🤗🔥 14

#6 opened 2 months ago by

Nevermore9898

Will there be a LOW MTP version too?

pinned

❤️👍 3

#4 opened 2 months ago by

Agwulf

Downloading now ...

pinned

🚀 1

#3 opened 2 months ago by

dwbrott

Thanks David

pinned

👍🔥 15

#1 opened 2 months ago by

zulfikaradnan

M1-first MLX quants (oQ4e / oQ6e / oQ8e) with measured KLD, MTP and accuracy

#78 opened 1 day ago by

Studio-Research-M1

A vLLM version?

#73 opened 17 days ago by

kryll666

could be perfect - but needs some work.

#72 opened 17 days ago by

A-left-nuh

Good for cyber?

#70 opened 19 days ago by

raviolibuttpirate

I love this -- will there ever be a Qwen3.8-next-flash version?

🧠👍 4

#69 opened 20 days ago by

codegrizzly

Language translations

❤️👍 1

#68 opened 20 days ago by

kylebamboo

Update strategy

🔥❤️ 3

#65 opened about 1 month ago by

digiheathen

Is this "the one" for coding?

#64 opened about 1 month ago by

kylebamboo

david, david! radiative cooling!

❤️👍 1

#62 opened about 1 month ago by

sHEL1562

try geometric reasoning

#61 opened about 1 month ago by

coolIhavere

too little thinking? cutting out mid thinking when it suppose to think more?

#60 opened about 1 month ago by

kakakolaka

My Observations during actual "work" use cases

#59 opened about 1 month ago by

Omnomynous

Run Qwen3.8-27B TURBO Fable Cold Fusion Q4_K_M on Kaggle with 2×T4

👍❤️ 4

#58 opened about 1 month ago by

spdniloy

Hermes Agent ; Just amazing!!!

❤️ 1

#57 opened about 1 month ago by

Izenflamm

VERSION / QUANTS : [Sharing] INT4-INT8-Mixed version for dual 3090 users

❤️👍 1

#56 opened about 1 month ago by

JC1DA

Regarding the issue of model recognition errors

#55 opened about 1 month ago by

lh02577

A/B test | Qwen3.8-27B UD-Q4_K_M (MTP) vs DavidAU TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NEO-CODER-MAX-MTP Q4_K_M

#54 opened about 1 month ago by

aihog

repo & file name too long - ollama model pull fails

👍 6

#53 opened about 1 month ago by

kamikatze13

Keeps stopping in Hermes Agent

#52 opened about 2 months ago by

MoTRoNium

Dflash2 Support?

#51 opened about 2 months ago by

Czavodsky

GGUF versions available via Torrent

🔥 1

#50 opened about 2 months ago by

baiomys

Stellar Reasoning and Code, but the 'Reasoning Tax' Hits the Prose

#49 opened about 2 months ago by

dilletante

How close are we to having these models fine tune themselves?

#47 opened about 2 months ago by

kylebamboo

Feature Request: GSQ-RCO Quants for Qwen 3.8 TURBO & Recommendations for Critical/Precise Software Engineering

❤️👍 1

#46 opened about 2 months ago by

myhugginfacegacc

Complex workflow dropped from 1.5-2 hours to an average of 18 mins with better results

👍❤️ 2

#44 opened about 2 months ago by

krumpstead

dflash2 support?

#43 opened about 2 months ago by

Mk2Oracle

What agent are you all running this with?

#42 opened about 2 months ago by

qwq95195

user experience

#41 opened about 2 months ago by

chenmingchang

Looking for anyone with similar hardware as me (RTX 5090 + 64gb ddr5)

#40 opened about 2 months ago by

classy-giraffe

Iq4xs mtp with hybrid quantization

#39 opened about 2 months ago by

trombonator

Russian language degradation

➕ 1

#38 opened about 2 months ago by

nyarlat0

It starts very good but loops afterwards

#37 opened about 2 months ago by

47Hunter47

Amazing Work here

❤️👍 1

#35 opened about 2 months ago by

rasperss

没有找到ARC-C 735分的依据，版主是否可以同步给出其他大模型的相同测试分数？

#34 opened about 2 months ago by

kelei999999

It's getting stuck in a loop in my coding agent

👍 1

#33 opened about 2 months ago by

Gogeta70

Honest Review

❤️👍 11

#32 opened about 2 months ago by

ercangorgulu

Request for MLX-compatible version / conversion help for the new model

❤️👍 1

#31 opened about 2 months ago by

tLapt3

Conversations/thinking not showing properly

👍❤️ 1

#30 opened about 2 months ago by

BTGbullseye