Instructions to use hadadrjt/JARVIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hadadrjt/JARVIS with Transformers:

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

pipe = pipeline("text-generation", model="hadadrjt/JARVIS", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("hadadrjt/JARVIS")
model = AutoModelForCausalLM.from_pretrained("hadadrjt/JARVIS", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use hadadrjt/JARVIS with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/hadadrjt/JARVIS

SGLang

How to use hadadrjt/JARVIS 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 "hadadrjt/JARVIS" \
    --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": "hadadrjt/JARVIS",
		"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 "hadadrjt/JARVIS" \
        --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": "hadadrjt/JARVIS",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use hadadrjt/JARVIS with Docker Model Runner:
```
docker model run hf.co/hadadrjt/JARVIS
```

hadadrjt commited on Jul 3, 2025

Commit

a3dd297

1 Parent(s): 93ce464

J.A.R.V.I.S.: Release OpenAI-Compatible API for Next-Gen. [API 2/2]

Browse files

Files changed (1) hide show

README.md +15 -5

README.md CHANGED Viewed

@@ -150,22 +150,32 @@ For **developers**, an OpenAI-compatible API is available, facilitating seamless
 </video>
 ```bash
-# OpenAI Style (developers only)
-curl https://hadadrjt-api.hf.space/v1/responses \
   -H "Content-Type: application/json" \
   -d '{
-    "model": "JARVIS: 2.1.3",
-    "input": "Write a one-sentence bedtime story about a unicorn.",
     "stream": true
   }'
 ```
 ```
 # Endpoint
 https://hadadrjt-api.hf.space/v1
 ```
-<div style="font-size: x-small; font-weight: bold;">Please note: OpenAI-compatible API feature is deprecated for the Next-Gen version. The previous screen recording was made using the old version of Spaces, not the Next-Gen version. A new release will be available soon.</div>
 ## Responsible Use

 </video>
 ```bash
+# OpenAI-Compatible API (developers only)
+curl -X POST https://hadadrjt-api.hf.space/v1/chat/completions \
   -H "Content-Type: application/json" \
   -d '{
+    "model": "Q8_K_XL",
+    "messages": [
+      {"role": "user", "content": "Hello, who are you?"}
+    ],
     "stream": true
   }'
 ```
+<video src="https://gitlab.com/hdrjt/assets/-/raw/master/videos/JARVIS_next.mp4" controls>
+  Your browser does not support the video tag.
+</video>
 ```
 # Endpoint
 https://hadadrjt-api.hf.space/v1
+# Next-Gen provides support for tools and function calling.
+# Because this is free, without any cost, rate limits for access,
+# or a queue system and temporary sessions will apply
 ```
+<div style="font-size: x-small; font-weight: bold;">Please note: Audio and Image generation as well as Deep Search are not available for the OpenAI-Compatible API.</div>
 ## Responsible Use