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
```

walidsobhie-code commited on Apr 5

Commit

20a06fb

1 Parent(s): b5998ff

feat: add evaluation datasets (HumanEval 50, MBPP 100, Tool scenarios 50)

Browse files

Files changed (4) hide show

evaluation/README.md +35 -0
evaluation/humaneval_50.jsonl +3 -0
evaluation/mbpp_100.jsonl +3 -0
evaluation/tool_scenarios_50.jsonl +3 -0

evaluation/README.md ADDED Viewed

	@@ -0,0 +1,35 @@

+# Stack 2.9 Evaluation Datasets
+## Files
+| File | Count | Description |
+|------|-------|-------------|
+| `humaneval_50.jsonl` | 50 | HumanEval subset with difficulty ratings |
+| `mbpp_100.jsonl` | 100 | MBPP-style programming problems |
+| `tool_scenarios_50.jsonl` | 50 | Multi-step tool calling scenarios |
+## Format
+### HumanEval
+```json
+{"task_id": "humaneval_1", "difficulty": "medium", "prompt": "def solution(x):\n", "test": "assert solution(5) == 5"}
+```
+### MBPP
+```json
+{"task_id": "mbpp_1", "difficulty": "easy", "prompt": "def task(arr):\n", "test": "assert task([1,2,3]) == 6"}
+```
+### Tool Scenarios
+```json
+{"task_id": "tool_scenario_1", "difficulty": "hard", "prompt": "Task: Read file and count errors", "tools_needed": ["FileRead", "Grep"], "expected_steps": 3}
+```
+## Usage
+```python
+from evaluate_model import load_benchmark
+benchmarks = load_benchmark("evaluation/humaneval_50.jsonl")
+# Run evaluation...
+```

evaluation/humaneval_50.jsonl ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a49313a480bdf837da3b5021f7dfdb4ab29780e5ec73cd1ed1acb2d2d1724baa
+size 6794

evaluation/mbpp_100.jsonl ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:25a221d5d56f26a47ddc9c65dce47d1861aa2ee40e959463e2ac1b6c1d67e10b
+size 13886

evaluation/tool_scenarios_50.jsonl ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:846d42c214cbfd1392a6a86e27503214f38377aaf86d36178f2fa6152c213d48
+size 7285