Abliterated-Dolphin3.0-R1-Mistral-24B

Instructions to use SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B with Transformers:

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

pipe = pipeline("text-generation", model="SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B")
model = AutoModelForCausalLM.from_pretrained("SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B

SGLang

How to use SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B 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 "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B" \
    --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": "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B",
		"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 "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B" \
        --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": "SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B with Docker Model Runner:
```
docker model run hf.co/SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Abliterated-Dolphin3.0-R1-Mistral-24B

"Abliterated Dolphin" is a result of my 3AM brain reading about technique called abliteration and then thinking what would happen if I tried to abliterate a model that is already relatively free, such as Dolphin.

Heavily inspired by mlabonne's article on abliteration on how to redirect refusals and effectively remove, or ablate, censorship from a language model.

There is really no deeper meaning to any of this than pure curiosity.

Model Details

GGUF quants: saukko/Abliterated-Dolphin3.0-R1-Mistral-24B-GGUF

Model Description

This is basically a dumbed down version of the original Dolphin model I used as a base, as I have not done any DPOs to heal the damage caused by abliteration.

Don't try to do anything meaningful with this model. Use the original Dolphin3.0-R1-Mistral-24B instead.

Uses

There's really no good use for this model as is really. This is basically a Dolphin that has had its brain poked at and then glued back together by some self-taught and unlicensed doctor, who got lost and found himself in a surgery room.

Bias, Risks, and Limitations

Bias: none or very low
Risks: a lot. please use the original model instead
Limitations: same as original but this one is lot dumber

Training, Evaluation and Model Examination

TBD

Technical Specifications

I strongly suggest you look at directly the sources I used myself. Go see mlabonne here on hf to start with. Below are some of the many sources I dug through on my mission.

References

Downloads last month: 380

Safetensors

Model size

24B params

Tensor type

BF16

Model tree for SAIFIINDUSTRIES/Abliterated-Dolphin3.0-R1-Mistral-24B

Base model

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

Finetuned

dphn/Dolphin3.0-R1-Mistral-24B

Finetuned

(5)

this model

Quantizations

2 models