Instructions to use FrontiersMind/Nandi-Mini-150M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FrontiersMind/Nandi-Mini-150M with Transformers:

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

pipe = pipeline("text-generation", model="FrontiersMind/Nandi-Mini-150M", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("FrontiersMind/Nandi-Mini-150M", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use FrontiersMind/Nandi-Mini-150M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FrontiersMind/Nandi-Mini-150M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FrontiersMind/Nandi-Mini-150M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FrontiersMind/Nandi-Mini-150M

SGLang

How to use FrontiersMind/Nandi-Mini-150M 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 "FrontiersMind/Nandi-Mini-150M" \
    --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": "FrontiersMind/Nandi-Mini-150M",
		"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 "FrontiersMind/Nandi-Mini-150M" \
        --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": "FrontiersMind/Nandi-Mini-150M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FrontiersMind/Nandi-Mini-150M with Docker Model Runner:
```
docker model run hf.co/FrontiersMind/Nandi-Mini-150M
```

vishesh-t27 commited on Apr 2

Commit

b32f4a7

verified ·

1 Parent(s): 6c4fbcc

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -86,7 +86,7 @@ The model is trained on English and a diverse set of Indic languages, including:
 | Qwen2.5-0.5B-Base   | 500           | 18000            | 52.16    | 56.82      | 24.10| 47.41| 4.77  | 29.87     | 35.86   |
 | Qwen3-0.6B-Base     | 600           | 36000            | 53.77    | 59.19      | 30.80| 50.34| 15.31 | 28.04     | 39.58   |
 | SmolLM-360M-Base    | 360           | 600              | 53.33    | 57.22      | 21.20| 24.92| 2.19  | 1.21      | 26.68   |
-| SmolLM2-360M-Base   | 360           | 40000            | 56.30    | 59.19      | 25.22| 25.55| 2.88  | 0.00      | 28.19   |
 | **Nandi-Mini-150M-Base** | **150**       | 500          | 37.20| 52.32  | 28.57 | 28.86 | 2.58 | 4.27 | 25.63 |
 ### Note

 | Qwen2.5-0.5B-Base   | 500           | 18000            | 52.16    | 56.82      | 24.10| 47.41| 4.77  | 29.87     | 35.86   |
 | Qwen3-0.6B-Base     | 600           | 36000            | 53.77    | 59.19      | 30.80| 50.34| 15.31 | 28.04     | 39.58   |
 | SmolLM-360M-Base    | 360           | 600              | 53.33    | 57.22      | 21.20| 24.92| 2.19  | 1.21      | 26.68   |
+| SmolLM2-360M-Base   | 360           | 4000            | 56.30    | 59.19      | 25.22| 25.55| 2.88  | 0.00      | 28.19   |
 | **Nandi-Mini-150M-Base** | **150**       | 500          | 37.20| 52.32  | 28.57 | 28.86 | 2.58 | 4.27 | 25.63 |
 ### Note