Instructions to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
# Run inference directly in the terminal:
llama cli -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
# Run inference directly in the terminal:
./llama-cli -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Use Docker

docker model run hf.co/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

LM Studio
Jan

vLLM

How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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": "HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Ollama
How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF with Ollama:
```
ollama run hf.co/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
```
Unsloth Desktop

How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_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": "HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF with Docker Model Runner:
```
docker model run hf.co/HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M
```

Lemonade

How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Run and chat with the model

lemonade run user.Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-IQ2_M

List all available models

lemonade list

Hermes Agent

How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-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 HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_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 "HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF:IQ2_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)

Multilingual to English reversion? Read this.

pinned

#12 opened about 2 months ago by

HauhauCS

Join the Discord server!

pinned

#3 opened about 2 months ago by

HauhauCS

need Qwen 3.8 27B fp8 gguf file

#52 opened about 4 hours ago by

phoenicyan

Pytanka

#50 opened 4 days ago by

Mistrzuniu9

Giving free credits for serverless HauhauCS/Qwen3.8-27B-Uncensored-Aggressive

#49 opened 8 days ago by

david00568

系统提示词是中文，甚至强调了人设是中国人，务必使用中文，聊天时发的也是中，但是回复输出的是英文，

#48 opened 14 days ago by

mmhl

Loving the latest model so far

#46 opened 17 days ago by

ahesh001

I cant get this to work in Unsloth Desktop

#45 opened 20 days ago by

slikvik55

Full

#44 opened 25 days ago by

Sacha26

contournage parentale

#43 opened 26 days ago by

uwuwuwwuwuwu

Works well, looking forward to others if there'll be any

#42 opened 29 days ago by

BlueNipples

How does it compare to huihui

🤗👍 2

#40 opened about 1 month ago by

blbx42

Load failed with FastMTP on llama.cpp version b10749

#39 opened about 1 month ago by

FriendshipEnder

Request: optional 512K YaRN GGUF variants for clients that cannot set YaRN at runtime

#38 opened about 1 month ago by

gerarddeluca

Request: Could you upload the unquantized BF16 / Safetensors version?

#37 opened about 1 month ago by

koloved

总是输出英文

👍 3

#35 opened about 1 month ago by

nanpai

Thank you

#33 opened about 1 month ago by

Malik7000

Oui

#32 opened about 1 month ago by

Acjdhsvaba

wrong model params number

👍 2

#31 opened about 1 month ago by

ademRguez

Form loading failed

#30 opened about 2 months ago by

Malik7000

Проп абуз

👀 1

#29 opened about 2 months ago by

Nazar321

iq3_xxs please?

❤️👍 2

#27 opened about 2 months ago by

vasya100

Ipm

#26 opened about 2 months ago by

Plaulhhf

Looking forward to Ornith-1.5-35B-A3B orz

#25 opened about 2 months ago by

coreyzhong

Error on ROCm build

#24 opened about 2 months ago by

Goghor

New version?

👍 1

#23 opened about 2 months ago by

emircanerkul

embedded MTP

#22 opened about 2 months ago by

DeZepTup

Fast MTP has an acceptance rate of only 40% for Chinese, which may be due to the preference for English output.

🔥 2

#21 opened about 2 months ago by

BillFan666

Great!

🧠👍 9

#20 opened about 2 months ago by

DumbravaRobert

Wow! Thank you.

#19 opened about 2 months ago by

emircanerkul

qwen 3.8 BF16.gguf

🤝 2

#18 opened about 2 months ago by

kapa1

On the IQ3_M quant, the model refuses explicit/vulgar requests

#17 opened about 2 months ago by

kane90

1-bit quant

#16 opened about 2 months ago by

encryptedoreo

Suport MTP FAST with -sm tensor

#14 opened about 2 months ago by

naxneri

Need a quantized version be provided for 16GB of GPU memory?

#13 opened about 2 months ago by

coder-scott

Fails to load in llama.cpp with SYCL backend

#9 opened about 2 months ago by

asif09ansari

Qwen3.8-27B Q4 @ BF16 KV 192k Context

👍 3

#6 opened about 2 months ago by

Nevermore9898

Q6_K - 22.9GB sizing

👍 1

#5 opened about 2 months ago by

arodd0xD

Having early tested it

❤️ 11

#4 opened about 2 months ago by

Coronelo

Вы лучшие!

➕ 1

#2 opened about 2 months ago by

ErusShuSu