Instructions to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="loilkon/Qwopus3.5-9B-v3.5-Uncensored",
	filename="Qwopus3.5-9B-v3.5-uncensored-ep182-Q4_K_M.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored: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 loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored: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 loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

Use Docker

docker model run hf.co/loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

LM Studio
Jan

vLLM

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "loilkon/Qwopus3.5-9B-v3.5-Uncensored"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "loilkon/Qwopus3.5-9B-v3.5-Uncensored",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

Ollama
How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with Ollama:
```
ollama run hf.co/loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
```

Unsloth Studio new

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored 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 loilkon/Qwopus3.5-9B-v3.5-Uncensored 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 loilkon/Qwopus3.5-9B-v3.5-Uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for loilkon/Qwopus3.5-9B-v3.5-Uncensored to start chatting

Pi new

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored: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": "loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf loilkon/Qwopus3.5-9B-v3.5-Uncensored: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 loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with Docker Model Runner:
```
docker model run hf.co/loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M
```

Lemonade

How to use loilkon/Qwopus3.5-9B-v3.5-Uncensored with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull loilkon/Qwopus3.5-9B-v3.5-Uncensored:Q4_K_M

Run and chat with the model

lemonade run user.Qwopus3.5-9B-v3.5-Uncensored-Q4_K_M

List all available models

lemonade list

Qwopus3.5-9B-v3.5-Uncensored

Qwopus3.5-9B-v3.5-Uncensored is a Heretic-modified release derived from Jackrong/Qwopus3.5-9B-v3.5, provided as a GGUF Q4_K_M checkpoint for local inference with llama.cpp and other GGUF-compatible runtimes.

Upstream Model

The upstream model, Jackrong/Qwopus3.5-9B-v3.5, is a reasoning-enhanced 9B model from the Qwen3.5 / Qwopus3.5 family. According to the upstream model card, Qwopus3.5-9B-v3.5 is a data-scaled continuation of Qwopus3.5-9B-v3.

The v3.5 release expands the training data coverage across mathematics, programming, puzzle-solving, multilingual dialogue, instruction following, multi-turn interactions, and STEM-related tasks. It does not introduce a new model architecture, RL stage, or chat-template redesign. Instead, it continues the Qwopus3.5-9B-v3 line with a larger SFT data mixture, aiming to improve structured reasoning, tool-augmented workflows, multi-step agentic tasks, and token-efficient inference.

Model Lineage

Qwen/Qwen3.5-9B-Base
  → Qwen/Qwen3.5-9B
    → Jackrong/Qwopus3.5-9B-v3.5
      → loilkon/Qwopus3.5-9B-v3.5-Uncensored

Release Summary

This repository provides a Heretic-modified version of Jackrong/Qwopus3.5-9B-v3.5 in GGUF Q4_K_M format.

The currently released checkpoint is:

Qwopus3.5-9B-v3.5-uncensored-ep182-Q4_K_M.gguf

Checkpoint Details

Field	Value
Direct upstream model	`Jackrong/Qwopus3.5-9B-v3.5`
Model family	Qwen3.5 / Qwopus3.5
Modification method	Heretic
Checkpoint	epoch 182
Refusal count	54 / 100
KL divergence	0.0019
Format	GGUF
Quantization	Q4_K_M
Target runtime	llama.cpp / GGUF-compatible runtimes

Why This Checkpoint?

This checkpoint was selected as a trade-off between refusal reduction and preservation of the upstream model behavior.

During experimentation, checkpoints with a larger KL divergence tended to drift further away from the behavior of Jackrong/Qwopus3.5-9B-v3.5. In particular, excessive drift appeared to push the model toward more base-model-like behavior. In local GGUF inference, this could make end-of-sequence termination less reliable, leading to overlong or repetitive generations.

The epoch-182 checkpoint keeps the KL divergence low at 0.0019, while reducing the refusal count to 54 / 100 on the evaluation set. This release therefore prioritizes stability and Qwopus-style behavior preservation over maximum refusal suppression.

In short:

Lower refusal rate   ↔  Higher behavioral drift risk
Lower KL divergence  ↔  Better preservation of Qwopus-style behavior

For this reason, epoch 182 is released as a conservative and more stable balance point rather than the most aggressively modified checkpoint.

Files

File	Description
`Qwopus3.5-9B-v3.5-uncensored-ep182-Q4_K_M.gguf`	Epoch-182 Heretic-modified GGUF Q4_K_M checkpoint

Usage

llama.cpp

llama-cli \
  -m Qwopus3.5-9B-v3.5-uncensored-ep182-Q4_K_M.gguf \
  -cnv \

llama-server

llama-server \
  -m Qwopus3.5-9B-v3.5-uncensored-ep182-Q4_K_M.gguf \
  --host 0.0.0.0 \
  --port 8080

Intended Use

This model is intended for local research, experimentation, and text-generation use.

Users are responsible for complying with applicable laws, platform policies, and the license terms of the upstream model. Do not use this model for illegal activities, abuse, harassment, fraud, privacy violations, malware, unauthorized access, or other harmful purposes.

Limitations

This is a modified and quantized checkpoint. Compared with the upstream model, behavior may differ in refusal behavior, instruction following, factuality, safety boundaries, termination behavior, and output stability.

Q4_K_M quantization is intended for efficient local inference and may reduce output quality compared with higher-precision checkpoints.

Attribution

This model is derived from:

Jackrong/Qwopus3.5-9B-v3.5

The upstream Qwopus3.5 model family is based on Qwen3.5.

Downloads last month: 936

GGUF

Model size

9B params

Architecture

qwen35

Hardware compatibility

4-bit

Model tree for loilkon/Qwopus3.5-9B-v3.5-Uncensored

Base model

Qwen/Qwen3.5-9B-Base

Finetuned

Qwen/Qwen3.5-9B

Finetuned

unsloth/Qwen3.5-9B

Finetuned

Jackrong/Qwopus3.5-9B-v3.5

Quantized

(12)

this model

loilkon
/

Qwopus3.5-9B-v3.5-Uncensored

Qwopus3.5-9B-v3.5-Uncensored

Upstream Model

Model Lineage

Release Summary

Checkpoint Details

Why This Checkpoint?

Files

Usage

llama.cpp

llama-server

Intended Use

Limitations

Attribution

Model tree for loilkon/Qwopus3.5-9B-v3.5-Uncensored

Space using loilkon/Qwopus3.5-9B-v3.5-Uncensored 1