Instructions to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF", dtype="auto")

llama-cpp-python

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF",
	filename="Q3.5-9B-DS-v4-Flash-DA.BF16.gguf",
)

llm.create_chat_completion(
	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"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M

Use Docker

docker model run hf.co/prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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": "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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/prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M

SGLang

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with Ollama:
```
ollama run hf.co/prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
```

Unsloth Studio new

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF to start chatting

Pi new

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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": "prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-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 prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with Docker Model Runner:
```
docker model run hf.co/prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M
```

Lemonade

How to use prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull prithivMLmods/Q3.5-9B-DS-v4-Flash-DA-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Q3.5-9B-DS-v4-Flash-DA-GGUF-Q4_K_M

List all available models

lemonade list

Q3.5-9B-DS-v4-Flash-DA-GGUF

Q3.5-9B-DS-v4-Flash-DA (Qwen3.5 DeepSeek Distilled-Abliterated) is a reasoning-focused model built on top of Qwen/Qwen3.5-9B through prithivMLmods/Qwen3.5-9B-Unredacted-MAX. This model is optimized for rich, detailed, and context-aware reasoning, leveraging multi-stage distillation on DeepSeek V4 reasoning traces combined with advanced refusal direction analysis and ablation-based training strategies to reduce internal refusal behaviors while preserving strong reasoning and instruction-following performance.

Model: https://huggingface.co/prithivMLmods/Q3.5-9B-DS-v4-Flash-DA

This model is intended strictly for research and learning purposes. Due to reduced internal refusal mechanisms, it may generate sensitive or unrestricted content. Users assume full responsibility for how the model is used. The authors and hosting platform disclaim any liability for generated outputs.

Note: This model is experimental and may generate artifacts.

Model Files

File Name	Quant Type	File Size	File Link
Q3.5-9B-DS-v4-Flash-DA.BF16.gguf	BF16	17.9 GB	Download
Q3.5-9B-DS-v4-Flash-DA.F16.gguf	F16	17.9 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q2_K.gguf	Q2_K	3.83 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q3_K_L.gguf	Q3_K_L	4.93 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q3_K_M.gguf	Q3_K_M	4.62 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q3_K_S.gguf	Q3_K_S	4.26 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q4_0.gguf	Q4_0	5.31 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q4_K_M.gguf	Q4_K_M	5.63 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q4_K_S.gguf	Q4_K_S	5.35 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q5_0.gguf	Q5_0	6.31 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q5_K_M.gguf	Q5_K_M	6.47 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q5_K_S.gguf	Q5_K_S	6.31 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q6_K.gguf	Q6_K	7.36 GB	Download
Q3.5-9B-DS-v4-Flash-DA.Q8_0.gguf	Q8_0	9.53 GB	Download
Q3.5-9B-DS-v4-Flash-DA.mmproj-bf16.gguf	mmproj-bf16	922 MB	Download
Q3.5-9B-DS-v4-Flash-DA.mmproj-f16.gguf	mmproj-f16	922 MB	Download
Q3.5-9B-DS-v4-Flash-DA.mmproj-q8_0.gguf	mmproj-q8_0	624 MB	Download