Instructions to use alyzaki/smollm2-360m-dolly-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use alyzaki/smollm2-360m-dolly-lora with Transformers:

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

pipe = pipeline("text-generation", model="alyzaki/smollm2-360m-dolly-lora")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("alyzaki/smollm2-360m-dolly-lora")
model = AutoModelForCausalLM.from_pretrained("alyzaki/smollm2-360m-dolly-lora", 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 alyzaki/smollm2-360m-dolly-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "alyzaki/smollm2-360m-dolly-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "alyzaki/smollm2-360m-dolly-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/alyzaki/smollm2-360m-dolly-lora

SGLang

How to use alyzaki/smollm2-360m-dolly-lora 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 "alyzaki/smollm2-360m-dolly-lora" \
    --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": "alyzaki/smollm2-360m-dolly-lora",
		"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 "alyzaki/smollm2-360m-dolly-lora" \
        --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": "alyzaki/smollm2-360m-dolly-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use alyzaki/smollm2-360m-dolly-lora with Docker Model Runner:
```
docker model run hf.co/alyzaki/smollm2-360m-dolly-lora
```

SmolLM2-360M Dolly-15k LoRA (Merged)

Fine-tuned SmolLM2-360M-Instruct on the full databricks/databricks-dolly-15k dataset using LoRA.

Model Repo

alyzaki/smollm2-360m-dolly-lora

Training Details

Base Model: HuggingFaceTB/SmolLM2-360M-Instruct
Dataset: Dolly-15k
Context length: 256
Epochs: 1
Method: LoRA (merged)
Hardware: Google Colab T4 GPU

Example Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("alyzaki/smollm2-360m-dolly-lora")
tokenizer = AutoTokenizer.from_pretrained("alyzaki/smollm2-360m-dolly-lora")

Downloads last month: 20

Safetensors

Model size

0.4B params

Tensor type

BF16

Model tree for alyzaki/smollm2-360m-dolly-lora

Base model

HuggingFaceTB/SmolLM2-360M

Quantized

HuggingFaceTB/SmolLM2-360M-Instruct

Adapter

(39)

this model

alyzaki
/

smollm2-360m-dolly-lora

SmolLM2-360M Dolly-15k LoRA (Merged)

Model Repo

Training Details

Example Usage

Model tree for alyzaki/smollm2-360m-dolly-lora

Dataset used to train alyzaki/smollm2-360m-dolly-lora

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