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

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
```

Weyaxi commited on Dec 4, 2023

Commit

10bce70

1 Parent(s): 343c270

Fix tokenizer.model thing??

Browse files

Files changed (3) hide show

config.json +2 -1
tokenizer.model +3 -0
tokenizer_config.json +2 -0

config.json CHANGED Viewed

@@ -3,6 +3,7 @@
   "architectures": [
     "MistralForCausalLM"
   ],
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
@@ -19,7 +20,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.35.2",
   "use_cache": true,
   "vocab_size": 32000
 }

   "architectures": [
     "MistralForCausalLM"
   ],
+  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.0.dev0",
   "use_cache": true,
   "vocab_size": 32000
 }

tokenizer.model ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json CHANGED Viewed

@@ -1,4 +1,6 @@
 {
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",

 {
+  "add_bos_token": true,
+  "add_eos_token": false,
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",