Instructions to use AstraMindAI/AstraQuasar-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AstraMindAI/AstraQuasar-4B with Transformers:

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

pipe = pipeline("text-generation", model="AstraMindAI/AstraQuasar-4B", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("AstraMindAI/AstraQuasar-4B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AstraMindAI/AstraQuasar-4B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AstraMindAI/AstraQuasar-4B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AstraMindAI/AstraQuasar-4B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AstraMindAI/AstraQuasar-4B

SGLang

How to use AstraMindAI/AstraQuasar-4B 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 "AstraMindAI/AstraQuasar-4B" \
    --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": "AstraMindAI/AstraQuasar-4B",
		"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 "AstraMindAI/AstraQuasar-4B" \
        --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": "AstraMindAI/AstraQuasar-4B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AstraMindAI/AstraQuasar-4B with Docker Model Runner:
```
docker model run hf.co/AstraMindAI/AstraQuasar-4B
```

mlinmg commited on Feb 15, 2024

Commit

66c1595

verified ·

1 Parent(s): 94c7259

Update modeling_quasar.py

Browse files

Files changed (1) hide show

modeling_quasar.py +0 -12

modeling_quasar.py CHANGED Viewed

@@ -1,17 +1,5 @@
 # coding=utf-8
 # Copyright 2024 AstraMind and the HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
 """ PyTorch Quasar model."""
 import inspect

 # coding=utf-8
 # Copyright 2024 AstraMind and the HuggingFace Inc. team. All rights reserved.
 """ PyTorch Quasar model."""
 import inspect