Instructions to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Saxanth/Heretic-Doliphin3-24b-Base-GGUF", dtype="auto")

llama-cpp-python

How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Saxanth/Heretic-Doliphin3-24b-Base-GGUF",
	filename="Heretic-24b-base-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 Saxanth/Heretic-Doliphin3-24b-Base-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Saxanth/Heretic-Doliphin3-24b-Base-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 Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Saxanth/Heretic-Doliphin3-24b-Base-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 Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Saxanth/Heretic-Doliphin3-24b-Base-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 Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with Ollama:
```
ollama run hf.co/Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Saxanth/Heretic-Doliphin3-24b-Base-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 Saxanth/Heretic-Doliphin3-24b-Base-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 Saxanth/Heretic-Doliphin3-24b-Base-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Saxanth/Heretic-Doliphin3-24b-Base-GGUF to start chatting

Pi new

How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Saxanth/Heretic-Doliphin3-24b-Base-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": "Heretic-Doliphin3-24b-Base-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with Docker Model Runner:
```
docker model run hf.co/Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M
```

Lemonade

How to use Saxanth/Heretic-Doliphin3-24b-Base-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Saxanth/Heretic-Doliphin3-24b-Base-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Heretic-Doliphin3-24b-Base-GGUF-Q4_K_M

List all available models

lemonade list

This is a decensored version of dphn/Dolphin3.0-Mistral-24B, made using Heretic v1.2.0

Abliteration parameters

Parameter	Value
direction_index	25.89
attn.o_proj.max_weight	1.48
attn.o_proj.max_weight_position	23.42
attn.o_proj.min_weight	0.39
attn.o_proj.min_weight_distance	21.84
mlp.down_proj.max_weight	0.87
mlp.down_proj.max_weight_position	28.65
mlp.down_proj.min_weight	0.59
mlp.down_proj.min_weight_distance	19.36

Performance

Metric	This model	Original model (dphn/Dolphin3.0-Mistral-24B)
KL divergence	0.0088	0 (by definition)
Refusals	0/100	66/100

Downloads last month: 28

GGUF

Model size

24B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

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Model tree for Saxanth/Heretic-Doliphin3-24b-Base-GGUF

Base model

mistralai/Mistral-Small-24B-Base-2501

Finetuned

dphn/Dolphin3.0-Mistral-24B

Quantized

(21)

this model