Instructions to use MetaIX/GPT4-X-Alpasta-30b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MetaIX/GPT4-X-Alpasta-30b with Transformers:

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

pipe = pipeline("text-generation", model="MetaIX/GPT4-X-Alpasta-30b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MetaIX/GPT4-X-Alpasta-30b")
model = AutoModelForCausalLM.from_pretrained("MetaIX/GPT4-X-Alpasta-30b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use MetaIX/GPT4-X-Alpasta-30b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MetaIX/GPT4-X-Alpasta-30b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MetaIX/GPT4-X-Alpasta-30b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MetaIX/GPT4-X-Alpasta-30b

SGLang

How to use MetaIX/GPT4-X-Alpasta-30b 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 "MetaIX/GPT4-X-Alpasta-30b" \
    --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": "MetaIX/GPT4-X-Alpasta-30b",
		"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 "MetaIX/GPT4-X-Alpasta-30b" \
        --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": "MetaIX/GPT4-X-Alpasta-30b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MetaIX/GPT4-X-Alpasta-30b with Docker Model Runner:
```
docker model run hf.co/MetaIX/GPT4-X-Alpasta-30b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

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Check out the documentation for more information.

Dont be upsetti, here, have some spaghetti! Att: A'eala <3

Information

GPT4-X-Alpasta-30b working with Oobabooga's Text Generation Webui and KoboldAI.

This is an attempt at improving Open Assistant's performance as an instruct while retaining its excellent prose. The merge consists of Chansung's GPT4-Alpaca Lora and Open Assistant's native fine-tune.

Benchmarks

FP16

Wikitext2: 4.6077961921691895

Ptb-New: 9.41549301147461

C4-New: 6.98392915725708

Benchmarks brought to you by A'eala

Downloads last month: 1,054

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Quantizations

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