Not-For-All-Audiences

Instructions to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Transformers:

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

pipe = pipeline("text-generation", model="D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B")
model = AutoModelForCausalLM.from_pretrained("D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B 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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
# Run inference directly in the terminal:
llama cli -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
# Run inference directly in the terminal:
llama cli -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
# Run inference directly in the terminal:
./llama-cli -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

Use Docker

docker model run hf.co/D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

LM Studio
Jan

vLLM

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

SGLang

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B 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 "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B" \
    --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": "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B" \
        --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": "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Ollama:
```
ollama run hf.co/D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
```

Unsloth Studio

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B 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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B 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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B to start chatting

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

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": "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Docker Model Runner:
```
docker model run hf.co/D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL
```

Lemonade

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

Run and chat with the model

lemonade run user.Looking-Glass-Alice-Thinking-NSFW-RP-8B-IQ4_NL

List all available models

lemonade list

Hermes Agent

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

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 D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL

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 "D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B:IQ4_NL" \
  --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"

Model Card for Looking_Glass-llama

This was an interm model meant for testing and planned on back merging and continued training. I had it on public for a very short time and Quants were made. So keeping it public I guess. Trained for thinking but this model is a bit repetative. There will be another version of it coming when I get my eq back up and running. Recomendation for now. Use a high temp and repetition penalty. Uses llama 3 template. Check out my Looking Glass system prompts dataset for example system prompts to use.

This model is a fine-tuned version of DoppelReflEx/L3-8B-R1-WolfCore. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="None", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

TRL: 0.23.0
Transformers: 4.56.2
Pytorch: 2.8.0
Datasets: 3.6.0
Tokenizers: 0.22.1

Citations

Cite TRL as:

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

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Safetensors

Model size

8B params

Tensor type

BF16

Model tree for D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B

Base model

DoppelReflEx/L3-8B-R1-WolfCore

Quantized

(3)

this model

Quantizations

3 models