Instructions to use Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2 with Transformers:

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

pipe = pipeline("text-generation", model="Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2")
model = AutoModelForCausalLM.from_pretrained("Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2

SGLang

How to use Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2 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 "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2 with Docker Model Runner:
```
docker model run hf.co/Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2
```

Exllamav2 quant (exl2 / 4.0 bpw) made with ExLlamaV2 v0.1.1

Other EXL2 quants:

Quant	Model Size	lm_head
2.2	3250 MB	6
2.5	3479 MB	6
3.0	3895 MB	6
3.5	4310 MB	6
3.75	4519 MB	6
4.0	4727 MB	6
4.25	4931 MB	6
5.0	5559 MB	6
6.0	6495 MB	8
6.5	6903 MB	8
8.0	8157 MB	8

NeuralDaredevil-8B-abliterated

This is a DPO fine-tune of mlabonne/Daredevil-8-abliterated trained on one epoch of mlabonne/orpo-dpo-mix-40k.

🏆 Evaluation

Open LLM Leaderboard

TBD.

Nous

Evaluation performed using LLM AutoEval. See the entire leaderboard here.

Model	Average	AGIEval	GPT4All	TruthfulQA	Bigbench
mlabonne/NeuralDaredevil-8B-abliterated 📄	55.87	43.73	73.6	59.36	46.8
mlabonne/Daredevil-8B 📄	55.87	44.13	73.52	59.05	46.77
mlabonne/Daredevil-8B-abliterated 📄	55.06	43.29	73.33	57.47	46.17
NousResearch/Hermes-2-Theta-Llama-3-8B 📄	54.28	43.9	72.62	56.36	44.23
openchat/openchat-3.6-8b-20240522 📄	53.49	44.03	73.67	49.78	46.48
meta-llama/Meta-Llama-3-8B-Instruct 📄	51.34	41.22	69.86	51.65	42.64
meta-llama/Meta-Llama-3-8B 📄	45.42	31.1	69.95	43.91	36.7

🌳 Model family tree

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Zoyd
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mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2

NeuralDaredevil-8B-abliterated

🏆 Evaluation

Open LLM Leaderboard

Nous

🌳 Model family tree

Dataset used to train Zoyd/mlabonne_NeuralDaredevil-8B-abliterated-4_0bpw_exl2