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
```

Adding Evaluation Results

by leaderboard-pr-bot - opened Mar 4, 2024

base: refs/heads/main

←

from: refs/pr/7

Discussion Files changed

+36

-6

Files changed (1) hide show

README.md +36 -6

README.md CHANGED Viewed

@@ -1,5 +1,10 @@
 ---
 license: apache-2.0
 model-index:
 - name: OpenHermes-2.5-neural-chat-v3-3-Slerp
   results:
@@ -17,6 +22,9 @@ model-index:
     - type: acc_norm
       value: 68.09
       name: normalized accuracy
   - task:
       type: text-generation
       name: Text Generation
@@ -30,6 +38,9 @@ model-index:
     - type: acc_norm
       value: 86.2
       name: normalized accuracy
   - task:
       type: text-generation
       name: Text Generation
@@ -44,6 +55,9 @@ model-index:
     - type: acc
       value: 64.26
       name: accuracy
   - task:
       type: text-generation
       name: Text Generation
@@ -57,6 +71,8 @@ model-index:
     metrics:
     - type: mc2
       value: 62.78
   - task:
       type: text-generation
       name: Text Generation
@@ -71,6 +87,9 @@ model-index:
     - type: acc
       value: 79.16
       name: accuracy
   - task:
       type: text-generation
       name: Text Generation
@@ -85,11 +104,9 @@ model-index:
     - type: acc
       value: 67.78
       name: accuracy
-tags:
-- merge
-base_model:
-- teknium/OpenHermes-2.5-Mistral-7B
-- Intel/neural-chat-7b-v3-3
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png)
@@ -176,4 +193,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 If you would like to support me:
-[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)

 ---
 license: apache-2.0
+tags:
+- merge
+base_model:
+- teknium/OpenHermes-2.5-Mistral-7B
+- Intel/neural-chat-7b-v3-3
 model-index:
 - name: OpenHermes-2.5-neural-chat-v3-3-Slerp
   results:
     - type: acc_norm
       value: 68.09
       name: normalized accuracy
+    - type: acc_norm
+      value: 68.09
+      name: normalized accuracy
   - task:
       type: text-generation
       name: Text Generation
     - type: acc_norm
       value: 86.2
       name: normalized accuracy
+    - type: acc_norm
+      value: 86.2
+      name: normalized accuracy
   - task:
       type: text-generation
       name: Text Generation
     - type: acc
       value: 64.26
       name: accuracy
+    - type: acc
+      value: 64.26
+      name: accuracy
   - task:
       type: text-generation
       name: Text Generation
     metrics:
     - type: mc2
       value: 62.78
+    - type: mc2
+      value: 62.78
   - task:
       type: text-generation
       name: Text Generation
     - type: acc
       value: 79.16
       name: accuracy
+    - type: acc
+      value: 79.16
+      name: accuracy
   - task:
       type: text-generation
       name: Text Generation
     - type: acc
       value: 67.78
       name: accuracy
+    - type: acc
+      value: 67.78
+      name: accuracy
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/x44nNbPTpv0zGTqA1Jb2q.png)
 If you would like to support me:
+[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__OpenHermes-2.5-neural-chat-v3-3-Slerp)
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.38|
+|AI2 Reasoning Challenge (25-Shot)|68.09|
+|HellaSwag (10-Shot)              |86.20|
+|MMLU (5-Shot)                    |64.26|
+|TruthfulQA (0-shot)              |62.78|
+|Winogrande (5-shot)              |79.16|
+|GSM8k (5-shot)                   |67.78|