Instructions to use maicomputer/gpt4-x-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use maicomputer/gpt4-x-alpaca with Transformers:

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

pipe = pipeline("text-generation", model="maicomputer/gpt4-x-alpaca")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("maicomputer/gpt4-x-alpaca")
model = AutoModelForCausalLM.from_pretrained("maicomputer/gpt4-x-alpaca")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use maicomputer/gpt4-x-alpaca with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "maicomputer/gpt4-x-alpaca"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "maicomputer/gpt4-x-alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/maicomputer/gpt4-x-alpaca

SGLang

How to use maicomputer/gpt4-x-alpaca 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 "maicomputer/gpt4-x-alpaca" \
    --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": "maicomputer/gpt4-x-alpaca",
		"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 "maicomputer/gpt4-x-alpaca" \
        --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": "maicomputer/gpt4-x-alpaca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use maicomputer/gpt4-x-alpaca with Docker Model Runner:
```
docker model run hf.co/maicomputer/gpt4-x-alpaca
```

chavinlo

kagevazquez commited on Apr 1, 2023

Commit

4e4de57

1 Parent(s): 0c5696f

Update tokenizer_config.json (#4)

Browse files

- Update tokenizer_config.json (8a9bcc78f4782f10ea47679b4475b80c63c92379)

Co-authored-by: Justin Vazquez <kagevazquez@users.noreply.huggingface.co>

Files changed (1) hide show

tokenizer_config.json +1 -1

tokenizer_config.json CHANGED Viewed

@@ -4,6 +4,6 @@
   "model_max_length": 512,
   "padding_side": "right",
   "special_tokens_map_file": "/root/.cache/huggingface/hub/models--decapoda-research--llama-13b-hf/snapshots/438770a656712a5072229b62256521845d4de5ce/special_tokens_map.json",
-  "tokenizer_class": "LLaMATokenizer",
   "unk_token": ""
 }

   "model_max_length": 512,
   "padding_side": "right",
   "special_tokens_map_file": "/root/.cache/huggingface/hub/models--decapoda-research--llama-13b-hf/snapshots/438770a656712a5072229b62256521845d4de5ce/special_tokens_map.json",
+  "tokenizer_class": "LlamaTokenizer",
   "unk_token": ""
 }