Instructions to use OdiaGenAI-LLM/odia-gemma-2b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OdiaGenAI-LLM/odia-gemma-2b-base with Transformers:

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

pipe = pipeline("text-generation", model="OdiaGenAI-LLM/odia-gemma-2b-base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OdiaGenAI-LLM/odia-gemma-2b-base")
model = AutoModelForCausalLM.from_pretrained("OdiaGenAI-LLM/odia-gemma-2b-base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OdiaGenAI-LLM/odia-gemma-2b-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OdiaGenAI-LLM/odia-gemma-2b-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OdiaGenAI-LLM/odia-gemma-2b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OdiaGenAI-LLM/odia-gemma-2b-base

SGLang

How to use OdiaGenAI-LLM/odia-gemma-2b-base 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 "OdiaGenAI-LLM/odia-gemma-2b-base" \
    --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": "OdiaGenAI-LLM/odia-gemma-2b-base",
		"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 "OdiaGenAI-LLM/odia-gemma-2b-base" \
        --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": "OdiaGenAI-LLM/odia-gemma-2b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OdiaGenAI-LLM/odia-gemma-2b-base with Docker Model Runner:
```
docker model run hf.co/OdiaGenAI-LLM/odia-gemma-2b-base
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

odia-gemma-2b-base (Pre-trained)

Odia-Gemma-2B-Base is a pre-trained Odia large language model with 2 billion parameters, and it is based on Google/Gemma 2B. The model is pre-trained on the Culturex-Odia dataset, a filtered version of the original CulturaX dataset for Odia text. The training dataset contains 49 million tokens. The CulturaX-Odia dataset is sourced from mc4 and four distinct OSCAR corpora.

For more details about the model, data, training procedure, and evaluations, go through the blog post.

Model Description

Model type: A 2B pre-trained decoder-only model
Primary Language(s): Odia and English
License: Gemma Terms of Use

NOTE

This is not an instruction-tuned model, so it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model has no moderation mechanisms and may generate harmful or inappropriate responses. It is recommended to first fine-tune it on the task(s) you are interested in.

Citation Information

If you find this model useful, please consider giving 👏 and citing:

@misc{odia-gemma-2b-base,
  author = {Sambit Sekhar and Shantipriya Parida and Debasish Dhal and Guneet Singh Kohli},
  title = {OdiaGenAI Introduces Gemma 2B Pre-Trained LLM Catered to Odia Speakers},
  year = {2024},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  howpublished = {\url{https://huggingface.co/OdiaGenAI}},
}

Contributions

Sambit Sekhar
Shantipriya Parida
Debasish Dhal
Guneet Singh Kohli

Downloads last month: 2

Safetensors

Model size

3B params

Tensor type

BF16

Model tree for OdiaGenAI-LLM/odia-gemma-2b-base

Quantizations

1 model