Instructions to use Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B 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-7b-v3-2-7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B") model = AutoModelForCausalLM.from_pretrained("Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B 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-7b-v3-2-7B" # 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-7b-v3-2-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B
- SGLang
How to use Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B 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 "Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B" \ --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-7b-v3-2-7B", "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-7b-v3-2-7B" \ --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-7b-v3-2-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B with Docker Model Runner:
docker model run hf.co/Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-2-7B
reformat open llm leaderboard and add buy me a cofee link
Browse files
README.md
CHANGED
|
@@ -166,6 +166,7 @@ Quantizationed versions of this model is available thanks to [TheBloke](https://
|
|
| 166 |
##### AWQ
|
| 167 |
|
| 168 |
- [TheBloke/OpenHermes-2.5-neural-chat-7B-v3-2-7B-AWQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-7B-v3-2-7B-AWQ)
|
|
|
|
| 169 |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
| 170 |
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__OpenHermes-2.5-neural-chat-7b-v3-2-7B)
|
| 171 |
|
|
@@ -179,3 +180,6 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
|
|
| 179 |
|Winogrande (5-shot) |78.53|
|
| 180 |
|GSM8k (5-shot) |56.79|
|
| 181 |
|
|
|
|
|
|
|
|
|
|
|
|
| 166 |
##### AWQ
|
| 167 |
|
| 168 |
- [TheBloke/OpenHermes-2.5-neural-chat-7B-v3-2-7B-AWQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-7B-v3-2-7B-AWQ)
|
| 169 |
+
-
|
| 170 |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
| 171 |
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__OpenHermes-2.5-neural-chat-7b-v3-2-7B)
|
| 172 |
|
|
|
|
| 180 |
|Winogrande (5-shot) |78.53|
|
| 181 |
|GSM8k (5-shot) |56.79|
|
| 182 |
|
| 183 |
+
If you would like to support me:
|
| 184 |
+
|
| 185 |
+
[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
|