Instructions to use karthik-2905/AL1-model-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use karthik-2905/AL1-model-B with Transformers:

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

pipe = pipeline("text-generation", model="karthik-2905/AL1-model-B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("karthik-2905/AL1-model-B")
model = AutoModelForCausalLM.from_pretrained("karthik-2905/AL1-model-B", 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]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use karthik-2905/AL1-model-B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "karthik-2905/AL1-model-B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "karthik-2905/AL1-model-B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/karthik-2905/AL1-model-B

SGLang

How to use karthik-2905/AL1-model-B 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 "karthik-2905/AL1-model-B" \
    --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": "karthik-2905/AL1-model-B",
		"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 "karthik-2905/AL1-model-B" \
        --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": "karthik-2905/AL1-model-B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use karthik-2905/AL1-model-B with Docker Model Runner:
```
docker model run hf.co/karthik-2905/AL1-model-B
```

AL1-model-B / eval /tools_eval.py

karthik-2905

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	{"query": "Show me the contents of config.py", "expected": {"name": "read_file", "arguments": {"path": "config.py"}}}
	{"query": "What files are in the src directory?", "expected": {"name": "list_dir", "arguments": {"path": "src"}}}
	{"query": "Create a file notes.txt containing the text hello world", "expected": {"name": "write_file", "arguments": {"path": "notes.txt", "content": "hello world"}}}
	{"query": "Run the test suite using pytest", "expected": {"name": "run_bash", "arguments": {"command": "pytest"}}}
	{"query": "In app.py replace 5000 with 8080", "expected": {"name": "edit_file", "arguments": {"path": "app.py", "old_string": "5000", "new_string": "8080"}}}
	{"query": "Read the README.md file for me", "expected": {"name": "read_file", "arguments": {"path": "README.md"}}}
	{"query": "List everything in the current directory .", "expected": {"name": "list_dir", "arguments": {"path": "."}}}
	{"query": "Execute git status", "expected": {"name": "run_bash", "arguments": {"command": "git status"}}}
	{"query": "Make a new file hello.py that prints hi", "expected": {"name": "write_file", "arguments": {"path": "hello.py", "content": "print('hi')"}}}
	{"query": "Open and show src/utils.py", "expected": {"name": "read_file", "arguments": {"path": "src/utils.py"}}}
	{"query": "In main.py change the word foo to bar", "expected": {"name": "edit_file", "arguments": {"path": "main.py", "old_string": "foo", "new_string": "bar"}}}
	{"query": "Show the entries in the tests folder", "expected": {"name": "list_dir", "arguments": {"path": "tests"}}}