Instructions to use NeuroOps/NeuralHermes-2.5-Mistral-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NeuroOps/NeuralHermes-2.5-Mistral-7B with Transformers:

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

pipe = pipeline("text-generation", model="NeuroOps/NeuralHermes-2.5-Mistral-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NeuroOps/NeuralHermes-2.5-Mistral-7B")
model = AutoModelForCausalLM.from_pretrained("NeuroOps/NeuralHermes-2.5-Mistral-7B", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NeuroOps/NeuralHermes-2.5-Mistral-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NeuroOps/NeuralHermes-2.5-Mistral-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NeuroOps/NeuralHermes-2.5-Mistral-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NeuroOps/NeuralHermes-2.5-Mistral-7B

SGLang

How to use NeuroOps/NeuralHermes-2.5-Mistral-7B 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 "NeuroOps/NeuralHermes-2.5-Mistral-7B" \
    --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": "NeuroOps/NeuralHermes-2.5-Mistral-7B",
		"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 "NeuroOps/NeuralHermes-2.5-Mistral-7B" \
        --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": "NeuroOps/NeuralHermes-2.5-Mistral-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NeuroOps/NeuralHermes-2.5-Mistral-7B with Docker Model Runner:
```
docker model run hf.co/NeuroOps/NeuralHermes-2.5-Mistral-7B
```

NeuralHermes-2.5-Mistral-7B

Commit History

Upload tokenizer

1d3d73c
verified

RG commited on Feb 25, 2024

Upload MistralForCausalLM

1b4a65a
verified

RG commited on Feb 25, 2024

Upload tokenizer

36d9030
verified

RG commited on Feb 23, 2024

Upload MistralForCausalLM

21547aa
verified

RG commited on Feb 23, 2024

initial commit

fdb9b1b
verified

RG commited on Feb 23, 2024

Commit History

Upload tokenizer 1d3d73c verified

Upload MistralForCausalLM 1b4a65a verified

Upload tokenizer 36d9030 verified

Upload MistralForCausalLM 21547aa verified

initial commit fdb9b1b verified

Upload tokenizer

1d3d73c
verified

Upload MistralForCausalLM

1b4a65a
verified

Upload tokenizer

36d9030
verified

Upload MistralForCausalLM

21547aa
verified

initial commit

fdb9b1b
verified