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)

Notebooks
Google Colab
Kaggle
Local Apps

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

a3c5a68

verified ·

1 Parent(s): 5691eac

Update config.json

Browse files

Files changed (1) hide show

config.json +3 -3

config.json CHANGED Viewed

@@ -1,12 +1,12 @@
 {
-  "_name_or_path": "AstraMindAI/AstraQuasar-4.5B",
   "architectures": [
     "QuasarForCausalLM"
   ],
   "attention_dropout": 0.0,
   "auto_map": {
-    "AutoConfig": "AstraMindAI/AstraQuasar-4.5B--configuration_quasar.QuasarConfig",
-    "AutoModelForCausalLM": "AstraMindAI/AstraQuasar-4.5B--modeling_quasar.QuasarForCausalLM"
   },
   "bos_token_id": 50256,
   "embd_pdrop": 0.0,

 {
+  "_name_or_path": "AstraMindAI/AstraQuasar-4B",
   "architectures": [
     "QuasarForCausalLM"
   ],
   "attention_dropout": 0.0,
   "auto_map": {
+    "AutoConfig": "AstraMindAI/AstraQuasar-4B--configuration_quasar.QuasarConfig",
+    "AutoModelForCausalLM": "AstraMindAI/AstraQuasar-4B--modeling_quasar.QuasarForCausalLM"
   },
   "bos_token_id": 50256,
   "embd_pdrop": 0.0,