Instructions to use M4-ai/Hercules-phi-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use M4-ai/Hercules-phi-2 with Transformers:

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

pipe = pipeline("text-generation", model="M4-ai/Hercules-phi-2", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("M4-ai/Hercules-phi-2", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("M4-ai/Hercules-phi-2", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use M4-ai/Hercules-phi-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "M4-ai/Hercules-phi-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "M4-ai/Hercules-phi-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/M4-ai/Hercules-phi-2

SGLang

How to use M4-ai/Hercules-phi-2 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 "M4-ai/Hercules-phi-2" \
    --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": "M4-ai/Hercules-phi-2",
		"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 "M4-ai/Hercules-phi-2" \
        --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": "M4-ai/Hercules-phi-2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use M4-ai/Hercules-phi-2 with Docker Model Runner:
```
docker model run hf.co/M4-ai/Hercules-phi-2
```

Locutusque commited on Apr 15, 2024

Commit

239e2a6

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Update README.md

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@@ -1,8 +1,8 @@
 ---
 library_name: transformers
-license: other
 datasets:
-- Locutusque/hercules-v4.0
 language:
 - en
 inference:
@@ -27,7 +27,7 @@ We fine-tuned phi2 on Locutusque's Hercules-v4.5.
 <!-- Provide a longer summary of what this model is. -->
-This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using 700,000 examples of Hercules-v4.
 - **Developed by:** M4-ai
 - **Language(s) (NLP):** English

 ---
 library_name: transformers
+license: apache-2.0
 datasets:
+- Locutusque/hercules-v4.5
 language:
 - en
 inference:
 <!-- Provide a longer summary of what this model is. -->
+This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using all examples of Hercules-v4.5.
 - **Developed by:** M4-ai
 - **Language(s) (NLP):** English