Instructions to use openchat/openchat_v3.2_super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openchat/openchat_v3.2_super with Transformers:

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

pipe = pipeline("text-generation", model="openchat/openchat_v3.2_super")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("openchat/openchat_v3.2_super")
model = AutoModelForCausalLM.from_pretrained("openchat/openchat_v3.2_super")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use openchat/openchat_v3.2_super with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openchat/openchat_v3.2_super"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openchat/openchat_v3.2_super",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openchat/openchat_v3.2_super

SGLang

How to use openchat/openchat_v3.2_super 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 "openchat/openchat_v3.2_super" \
    --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": "openchat/openchat_v3.2_super",
		"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 "openchat/openchat_v3.2_super" \
        --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": "openchat/openchat_v3.2_super",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openchat/openchat_v3.2_super with Docker Model Runner:
```
docker model run hf.co/openchat/openchat_v3.2_super
```

imone commited on Oct 2, 2023

Commit

df2ce8f

1 Parent(s): e2059b8

add </s> as additional special tokens

Browse files

Files changed (1) hide show

special_tokens_map.json +1 -1

special_tokens_map.json CHANGED Viewed

	@@ -1 +1 @@
1	- {"additional_special_tokens": ["<\|end_of_turn\|>", "<\|PAD\|>"], "bos_token": {"content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": "<\|end_of_turn\|>", "unk_token": {"content": "<unk>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}}


1	+ {"additional_special_tokens": ["<\|end_of_turn\|>", "<\|PAD\|>", "</s>"], "bos_token": {"content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": "<\|end_of_turn\|>", "unk_token": {"content": "<unk>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}}