Instructions to use Cartik/Bastiai-1-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Cartik/Bastiai-1-instruct with Transformers:

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

pipe = pipeline("text-generation", model="Cartik/Bastiai-1-instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Cartik/Bastiai-1-instruct")
model = AutoModelForMultimodalLM.from_pretrained("Cartik/Bastiai-1-instruct")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Cartik/Bastiai-1-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Cartik/Bastiai-1-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Cartik/Bastiai-1-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Cartik/Bastiai-1-instruct

SGLang

How to use Cartik/Bastiai-1-instruct 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 "Cartik/Bastiai-1-instruct" \
    --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": "Cartik/Bastiai-1-instruct",
		"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 "Cartik/Bastiai-1-instruct" \
        --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": "Cartik/Bastiai-1-instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Cartik/Bastiai-1-instruct with Docker Model Runner:
```
docker model run hf.co/Cartik/Bastiai-1-instruct
```

Cartik commited on Apr 29

Commit

be5965b

verified ·

1 Parent(s): 3f9807f

Update config.json

Browse files

Files changed (1) hide show

config.json +3 -3

config.json CHANGED Viewed

@@ -1,11 +1,12 @@
 {
-  "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
   "architectures": [
     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
   "bos_token_id": 151643,
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 896,
   "initializer_range": 0.02,
@@ -22,8 +23,7 @@
   "sliding_window": null,
   "tie_word_embeddings": true,
   "torch_dtype": "float16",
-  "transformers_version": "4.45.1",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151665
-}

 {
+  "_name_or_path": "Cartik/Bastiai-1-instruct",
   "architectures": [
     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
   "bos_token_id": 151643,
   "eos_token_id": 151645,
+  "pad_token_id": 151643,
   "hidden_act": "silu",
   "hidden_size": 896,
   "initializer_range": 0.02,
   "sliding_window": null,
   "tie_word_embeddings": true,
   "torch_dtype": "float16",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151665
+}