Instructions to use HelpingAI/Dhanishtha-2.0-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HelpingAI/Dhanishtha-2.0-preview with Transformers:

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

pipe = pipeline("text-generation", model="HelpingAI/Dhanishtha-2.0-preview")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HelpingAI/Dhanishtha-2.0-preview")
model = AutoModelForCausalLM.from_pretrained("HelpingAI/Dhanishtha-2.0-preview", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use HelpingAI/Dhanishtha-2.0-preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HelpingAI/Dhanishtha-2.0-preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HelpingAI/Dhanishtha-2.0-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/HelpingAI/Dhanishtha-2.0-preview

SGLang

How to use HelpingAI/Dhanishtha-2.0-preview 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 "HelpingAI/Dhanishtha-2.0-preview" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HelpingAI/Dhanishtha-2.0-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "HelpingAI/Dhanishtha-2.0-preview" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HelpingAI/Dhanishtha-2.0-preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use HelpingAI/Dhanishtha-2.0-preview with Docker Model Runner:
```
docker model run hf.co/HelpingAI/Dhanishtha-2.0-preview
```

Abhaykoul commited on Jun 9, 2025

Commit

97b656c

verified ·

1 Parent(s): 5cecb1d

Update README.md

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Files changed (1) hide show

README.md +5 -3

README.md CHANGED Viewed

@@ -4,11 +4,13 @@ license: apache-2.0
 datasets:
 - Abhaykoul/Dhanishtha-R1
 - open-thoughts/OpenThoughts-114k
 language:
 - en
 - hi
 base_model:
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
 pipeline_tag: text-generation
 ---
@@ -88,10 +90,10 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 # Prepare input with thinking enabled
-prompt = "Here's a riddle: If you break me, I'll not stop working. If you can touch me, my work is done. If you lose me, you must find me with a ring soon after. What am I?"
 messages = [
     {"role": "user", "content": prompt}
-]
 text = tokenizer.apply_chat_template(
     messages,

 datasets:
 - Abhaykoul/Dhanishtha-R1
 - open-thoughts/OpenThoughts-114k
+- Abhaykoul/Dhanishtha-2.0-SUPERTHINKER
+- Abhaykoul/Dhanishtha-2.0
 language:
 - en
 - hi
 base_model:
+- Qwen/Qwen3-14B
 pipeline_tag: text-generation
 ---
 )
 # Prepare input with thinking enabled
+prompt = "Who is your favorite person"
 messages = [
     {"role": "user", "content": prompt}
 text = tokenizer.apply_chat_template(
     messages,