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

Libraries

How to use maicomputer/alpaca-native with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use maicomputer/alpaca-native with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/maicomputer/alpaca-native

SGLang

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

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

chavinlo commited on Mar 18, 2023

Commit

f4f7df0

1 Parent(s): bcf1a64

Delete output

Browse files

Files changed (3) hide show

output/added_tokens.json +0 -3
output/config.json +0 -23
output/generation_config.json +0 -7

output/added_tokens.json DELETED Viewed

@@ -1,3 +0,0 @@
-{
-  "[PAD]": 32000
-}

output/config.json DELETED Viewed

@@ -1,23 +0,0 @@
-{
-  "_name_or_path": "decapoda-research/llama-7b-hf",
-  "architectures": [
-    "LLaMAForCausalLM"
-  ],
-  "bos_token_id": 0,
-  "eos_token_id": 1,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 11008,
-  "max_sequence_length": 2048,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "pad_token_id": -1,
-  "rms_norm_eps": 1e-06,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float32",
-  "transformers_version": "4.27.0.dev0",
-  "use_cache": true,
-  "vocab_size": 32001
-}

output/generation_config.json DELETED Viewed

@@ -1,7 +0,0 @@
-{
-  "_from_model_config": true,
-  "bos_token_id": 0,
-  "eos_token_id": 1,
-  "pad_token_id": 0,
-  "transformers_version": "4.27.0.dev0"
-}