Instructions to use Phr00t/Phr00tyMix-v4-32B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Phr00t/Phr00tyMix-v4-32B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Phr00t/Phr00tyMix-v4-32B-GGUF", dtype="auto")

llama-cpp-python

How to use Phr00t/Phr00tyMix-v4-32B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Phr00t/Phr00tyMix-v4-32B-GGUF",
	filename="Phr00tyMix-v4-32B-imat-IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Phr00t/Phr00tyMix-v4-32B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Phr00t/Phr00tyMix-v4-32B-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 Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Phr00t/Phr00tyMix-v4-32B-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 Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Phr00t/Phr00tyMix-v4-32B-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 Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Phr00t/Phr00tyMix-v4-32B-GGUF with Ollama:
```
ollama run hf.co/Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
```

Unsloth Studio

How to use Phr00t/Phr00tyMix-v4-32B-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 Phr00t/Phr00tyMix-v4-32B-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 Phr00t/Phr00tyMix-v4-32B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Phr00t/Phr00tyMix-v4-32B-GGUF to start chatting

Docker Model Runner
How to use Phr00t/Phr00tyMix-v4-32B-GGUF with Docker Model Runner:
```
docker model run hf.co/Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M
```

Lemonade

How to use Phr00t/Phr00tyMix-v4-32B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Phr00t/Phr00tyMix-v4-32B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Phr00tyMix-v4-32B-GGUF-Q4_K_M

List all available models

lemonade list

Phr00tyMix-v4-32B

Phr00tyMix-v3 did increase creativity, but at the expense of some of its instruction following and coherency. This mix is intended to fix that, which should improve its storytelling and obediency. This model is still very creative, uncensored (when asked to be) and smart.

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Phr00t/Phr00tyMix-v3-32B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
base_model: Phr00t/Phr00tyMix-v3-32B
dtype: bfloat16
models:
  - model: Delta-Vector/Archaeo-32B-KTO
  - model: allura-org/Qwen2.5-32b-RP-Ink
  - model: arcee-ai/Virtuoso-Medium-v2
  - model: Phr00t/Phr00tyMix-v2-32B
  - model: nicoboss/DeepSeek-R1-Distill-Qwen-32B-Uncensored
tokenizer:
  source: "Delta-Vector/Archaeo-32B-KTO"

Downloads last month: 521

GGUF

Model size

33B params

Architecture

qwen2

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

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Paper for Phr00t/Phr00tyMix-v4-32B-GGUF

Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 15