Instructions to use deepakdsoni/antahkarana-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepakdsoni/antahkarana-7B with Transformers:

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

pipe = pipeline("text-generation", model="deepakdsoni/antahkarana-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepakdsoni/antahkarana-7B")
model = AutoModelForCausalLM.from_pretrained("deepakdsoni/antahkarana-7B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepakdsoni/antahkarana-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepakdsoni/antahkarana-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepakdsoni/antahkarana-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deepakdsoni/antahkarana-7B

SGLang

How to use deepakdsoni/antahkarana-7B 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 "deepakdsoni/antahkarana-7B" \
    --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": "deepakdsoni/antahkarana-7B",
		"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 "deepakdsoni/antahkarana-7B" \
        --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": "deepakdsoni/antahkarana-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deepakdsoni/antahkarana-7B with Docker Model Runner:
```
docker model run hf.co/deepakdsoni/antahkarana-7B
```

deepakdsoni commited on Jun 13

Commit

21a2fbd

verified ·

1 Parent(s): 93c365c

Add author attribution (Deepak Soni)

Browse files

Files changed (1) hide show

config.json +3 -1

config.json CHANGED Viewed

@@ -23,5 +23,7 @@
   "transformers_version": "4.57.6",
   "use_cache": true,
   "vocab_size": 32000,
-  "_name_or_path": "antahkarana-7b"
 }

   "transformers_version": "4.57.6",
   "use_cache": true,
   "vocab_size": 32000,
+  "_name_or_path": "antahkarana-7b",
+  "author": "Deepak Soni",
+  "model_creator": "Deepak Soni"
 }