Instructions to use Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2 with Transformers:

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

pipe = pipeline("text-generation", model="Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2")
model = AutoModelForCausalLM.from_pretrained("Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Zoyd/mlabonne_Daredevil-8B-2_2bpw_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_Daredevil-8B-2_2bpw_exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2

SGLang

How to use Zoyd/mlabonne_Daredevil-8B-2_2bpw_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_Daredevil-8B-2_2bpw_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_Daredevil-8B-2_2bpw_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_Daredevil-8B-2_2bpw_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_Daredevil-8B-2_2bpw_exl2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2 with Docker Model Runner:
```
docker model run hf.co/Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2
```

Zoyd commited on May 27, 2024

Commit

290bd3d

verified ·

1 Parent(s): d89498a

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@@ -15,6 +15,23 @@ base_model:
 - flammenai/Mahou-1.1-llama3-8B
 - KingNish/KingNish-Llama3-8b
 ---
 # Daredevil-8B

 - flammenai/Mahou-1.1-llama3-8B
 - KingNish/KingNish-Llama3-8b
 ---
+**Exllamav2** quant (**exl2** / **2.2 bpw**) made with ExLlamaV2 v0.0.21
+Other EXL2 quants:
+| **Quant** | **Model Size** | **lm_head** |
+| ----- | ---------- | ------- |
+|<center>**[2.2](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-2_2bpw_exl2)**</center> | <center>3250 MB</center> | <center>6</center> |
+|<center>**[2.5](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-2_5bpw_exl2)**</center> | <center>3478 MB</center> | <center>6</center> |
+|<center>**[3.0](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-3_0bpw_exl2)**</center> | <center>3894 MB</center> | <center>6</center> |
+|<center>**[3.5](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-3_5bpw_exl2)**</center> | <center>4311 MB</center> | <center>6</center> |
+|<center>**[3.75](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-3_75bpw_exl2)**</center> | <center>4518 MB</center> | <center>6</center> |
+|<center>**[4.0](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-4_0bpw_exl2)**</center> | <center>4727 MB</center> | <center>6</center> |
+|<center>**[4.25](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-4_25bpw_exl2)**</center> | <center>4935 MB</center> | <center>6</center> |
+|<center>**[5.0](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-5_0bpw_exl2)**</center> | <center>5556 MB</center> | <center>6</center> |
+|<center>**[6.0](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-6_0bpw_exl2)**</center> | <center>6497 MB</center> | <center>8</center> |
+|<center>**[6.5](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-6_5bpw_exl2)**</center> | <center>6893 MB</center> | <center>8</center> |
+|<center>**[8.0](https://huggingface.co/Zoyd/mlabonne_Daredevil-8B-8_0bpw_exl2)**</center> | <center>8125 MB</center> | <center>8</center> |
 # Daredevil-8B