NSFW

roleplay

creative

writer

Super

Model card Files Files and versions

xet

Community

Instructions to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF to start chatting

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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": "mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-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 mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_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 "mradermacher/Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF:Q4_K_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"

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it.f16.gguf filter=lfs diff=lfs merge=lfs -text

mradermacher
/

Super-Slop-Machina-Roleplay-1.2b-V4-ERP-Tolerant-it-GGUF

uploaded from back

+version https://git-lfs.github.com/spec/v1
+oid sha256:d55925a7563d6f60e44743bc76c9f06fd85a260adda4098b15d0bf4a46726341
+size 668620640

+version https://git-lfs.github.com/spec/v1
+oid sha256:23a5b180df3239305f167601de9add3816b1d4daa71061873c686ea15a68ad23
+size 483399520

+version https://git-lfs.github.com/spec/v1
+oid sha256:ee26918e6c1d1792ad2b99114eb236dbc64a4fd996465dd9dde16a7ab8a56882
+size 635475808

+version https://git-lfs.github.com/spec/v1
+oid sha256:b42758c33a15fcc32908656cb23903e3de97c3e83da5d17670d3794597a5509f
+size 600348512

+version https://git-lfs.github.com/spec/v1
+oid sha256:a02d36cda9d9b9aa5cde45bd9808ba68b4b782fed8422b0b27abd8f2903a85a4
+size 558159712

+version https://git-lfs.github.com/spec/v1
+oid sha256:7f3f3f7f3142171f1a73641fd394c850947fcff7059f39f528b7426083125b27
+size 730896224

+version https://git-lfs.github.com/spec/v1
+oid sha256:3a10c026e3e59b08f01d0175281bfc5b7e455ccab19d0f7d584ff15fe4236df9
+size 700471136

+version https://git-lfs.github.com/spec/v1
+oid sha256:468c0f7d8f56ef016741a74ea0cea9c77ff88b1c798e1644ab9bb8949fc37a45
+size 843356000

+version https://git-lfs.github.com/spec/v1
+oid sha256:cdc4f4eb91a6c0e9310acda0325c76c3fd32e159959baceefd304d420c732319
+size 825251680

+version https://git-lfs.github.com/spec/v1
+oid sha256:184d071758d6c27e77652ba803926a84582711999d7d40c7854064b8a4c17fc2
+size 962844512

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:781ce349af46d1f3ec6a0dd2cc715c1ef998e3c8dcdff01b1cd4cbf21260e93a
+size 1246254944

+version https://git-lfs.github.com/spec/v1
+oid sha256:c661425245fd4b2f0761850b8af7551b799fd19d31a3bf011ce9ad57c43fad93
+size 2343327584