Instructions to use Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp with Transformers:

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

pipe = pipeline("text-generation", model="Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp")
model = AutoModelForCausalLM.from_pretrained("Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp

SGLang

How to use Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp 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 "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp" \
    --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": "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp",
		"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 "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp" \
        --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": "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp with Docker Model Runner:
```
docker model run hf.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
```

Weyaxi

davanstrien HF Staff commited on Dec 20, 2023

Commit

c1b1530

1 Parent(s): af5e13c

add merge tag (#3)

Browse files

- add merge tag (51bec524896d12d85a45c486cc3c8cc5eee0ef1e)

Co-authored-by: Daniel van Strien <davanstrien@users.noreply.huggingface.co>

Files changed (1) hide show

README.md +3 -1

README.md CHANGED Viewed

@@ -85,6 +85,8 @@ model-index:
     - type: acc
       value: 67.78
       name: accuracy
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png)
@@ -167,4 +169,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 | MMLU (5-shot)         | 64.26         |
 | TruthfulQA (0-shot)   | 62.78  |
 | Winogrande (5-shot)   | 79.16  |
-| GSM8K (5-shot)        | 67.78        |

     - type: acc
       value: 67.78
       name: accuracy
+tags:
+- merge
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png)
 | MMLU (5-shot)         | 64.26         |
 | TruthfulQA (0-shot)   | 62.78  |
 | Winogrande (5-shot)   | 79.16  |
+| GSM8K (5-shot)        | 67.78        |