Instructions to use my-ai-stack/Stack-2-9-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use my-ai-stack/Stack-2-9-finetuned with Transformers:

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

pipe = pipeline("text-generation", model="my-ai-stack/Stack-2-9-finetuned")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
model = AutoModelForCausalLM.from_pretrained("my-ai-stack/Stack-2-9-finetuned")
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

vLLM

How to use my-ai-stack/Stack-2-9-finetuned with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "my-ai-stack/Stack-2-9-finetuned"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/my-ai-stack/Stack-2-9-finetuned

SGLang

How to use my-ai-stack/Stack-2-9-finetuned 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 "my-ai-stack/Stack-2-9-finetuned" \
    --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": "my-ai-stack/Stack-2-9-finetuned",
		"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 "my-ai-stack/Stack-2-9-finetuned" \
        --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": "my-ai-stack/Stack-2-9-finetuned",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use my-ai-stack/Stack-2-9-finetuned with Docker Model Runner:
```
docker model run hf.co/my-ai-stack/Stack-2-9-finetuned
```

Stack-2-9-finetuned / stack /eval /results /humaneval_results.json

walidsobhie-code

refactor: Squeeze folders further - cleaner structure

65888d5 about 2 months ago

raw

history blame contribute delete

4.17 kB

	{
	"model": "stub",
	"timestamp": "2026-04-02T02:04:49.922506",
	"pass_at_1": 0.0,
	"pass_at_10": 0.0,
	"pass_at_100": 0.0,
	"total_cases": 20,
	"results": [
	{
	"task_id": "HumanEval/1",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/2",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/3",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/4",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/5",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/6",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/7",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/8",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/9",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/10",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/11",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/12",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/13",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/14",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/15",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/16",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/17",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/18",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/19",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	},
	{
	"task_id": "HumanEval/20",
	"passed": false,
	"generations": 10,
	"correct_output": null,
	"error": "All generations failed",
	"execution_time": 0.0
	}
	],
	"metadata": {
	"temperature_pass1": 0.2,
	"temperature_pass10": 0.8,
	"top_p": 0.95,
	"timeout": 60,
	"sample_size_pass100": 20
	}
	}