Instructions to use InfosysEnterprise/NT-Java-1.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use InfosysEnterprise/NT-Java-1.1B with Transformers:

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

pipe = pipeline("text-generation", model="InfosysEnterprise/NT-Java-1.1B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("InfosysEnterprise/NT-Java-1.1B")
model = AutoModelForCausalLM.from_pretrained("InfosysEnterprise/NT-Java-1.1B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use InfosysEnterprise/NT-Java-1.1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "InfosysEnterprise/NT-Java-1.1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "InfosysEnterprise/NT-Java-1.1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/InfosysEnterprise/NT-Java-1.1B

SGLang

How to use InfosysEnterprise/NT-Java-1.1B 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 "InfosysEnterprise/NT-Java-1.1B" \
    --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": "InfosysEnterprise/NT-Java-1.1B",
		"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 "InfosysEnterprise/NT-Java-1.1B" \
        --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": "InfosysEnterprise/NT-Java-1.1B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use InfosysEnterprise/NT-Java-1.1B with Docker Model Runner:
```
docker model run hf.co/InfosysEnterprise/NT-Java-1.1B
```

rajabmondal commited on Jun 24, 2024

Commit

45dfe9e

verified ·

1 Parent(s): 9b59dcc

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@@ -136,15 +136,16 @@ The NT-Java-1.1B model has been trained on publicly available datasets and is of
 ## Model
-- **Architecture:** GPT-2 model with Multi-Query Attention and Fill-in-the-Middle objective
-- **Pretraining steps:** 50k
-- **Pretraining tokens:** 22 Billion
 - **Precision:** bfloat16
 ## Hardware
 - **GPUs:** 6 NVIDIA A100 80GB
-- **Training time:**  4 days
 ## Software

 ## Model
+- **Architecture:** GPT-2 model with Multi-Query Attention and Fill-in-the-Middle objective.
+- **Pretraining steps:** 100k
+- **Context length:** 8K tokens
+- **Pretraining tokens:** 22 billion
 - **Precision:** bfloat16
 ## Hardware
 - **GPUs:** 6 NVIDIA A100 80GB
+- **Training time:**  10 days
 ## Software