Instructions to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF",
	filename="Qwen3.5-397B-A17B-Uncensored-BF16-split-00001-of-00002.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_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 timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_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 timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Use Docker

docker model run hf.co/timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "timteh673/Qwen3.5-397B-A17B-Uncensored-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": "timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Ollama
How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Ollama:
```
ollama run hf.co/timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
```

Unsloth Studio

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF to start chatting

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf timteh673/Qwen3.5-397B-A17B-Uncensored-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 timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Docker Model Runner:
```
docker model run hf.co/timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M
```

Lemonade

How to use timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.5-397B-A17B-Uncensored-GGUF-Q4_K_M

List all available models

lemonade list

Q4_k_m not available

by Trilogix1 - opened Mar 30

Discussion

Trilogix1

Mar 30

•

edited Mar 30

Trying to download the q4 says is not available. Can you reupload it?

Edit:
I see now that all the rest beside the q2 and q3 is not available for download. ???

timteh673

Owner Mar 30

Hey @Trilogix1 ! All 9 files (Q2_K through BF16 split) are fully uploaded and present in the repo — I just verified server-side. Here are the confirmed sizes:

Quant	Size
Q2_K	135 GB
Q3_K_M	177 GB
Q4_K_M	224 GB
Q5_K_M	262 GB
Q6_K	303 GB
Q8_0	393 GB
BF16 (2 splits)	739 GB

If you're seeing "not available," it's most likely HuggingFace's CDN still propagating the large files. A few things to try:

Clear browser cache and refresh the repo page
Use the CLI instead: huggingface-cli download timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF Qwen3.5-397B-A17B-Uncensored-Q4_K_M.gguf
Wait 30-60 min and try again — HF can be slow to serve files >100GB after upload

Let me know if it's still giving you trouble after that!

Trilogix1

Mar 30

Well, I keep getting unavailable. Can get it with Cli but why not with browser? Tried to clean cache and many browsers, weird.

timteh673

Owner Mar 31

Hey @Trilogix1 , that's a known HuggingFace issue with files >100GB — their web CDN sometimes marks them as "unavailable" even when the LFS objects are fully uploaded.

The CLI approach is the reliable workaround for now:

huggingface-cli download timteh673/Qwen3.5-397B-A17B-Uncensored-GGUF Qwen3.5-397B-A17B-Uncensored-Q4_K_M.gguf --local-dir ./

I've seen this affect other large model repos too (not just mine) — it seems to be a HF infrastructure limitation with their browser-based download handler for very large single files.

If you continue having issues with the CLI too, let me know and I'll investigate further. Also — a Stage 2 version (fine-tuned with Claude Opus reasoning traces) is being uploaded right now to a separate repo, so keep an eye out for that! ⚡

Trilogix1

Mar 31

•

edited Apr 21

@timeteh673,
So far so good. You doing a good job :)

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