Instructions to use VictorNanka/phi-2-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VictorNanka/phi-2-sft-lora with Transformers:

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

pipe = pipeline("text-generation", model="VictorNanka/phi-2-sft-lora", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("VictorNanka/phi-2-sft-lora", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use VictorNanka/phi-2-sft-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VictorNanka/phi-2-sft-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": "VictorNanka/phi-2-sft-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/VictorNanka/phi-2-sft-lora

SGLang

How to use VictorNanka/phi-2-sft-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 "VictorNanka/phi-2-sft-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": "VictorNanka/phi-2-sft-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 "VictorNanka/phi-2-sft-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": "VictorNanka/phi-2-sft-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use VictorNanka/phi-2-sft-lora with Docker Model Runner:
```
docker model run hf.co/VictorNanka/phi-2-sft-lora
```

phi-sft-lora

This model is a fine-tuned version of microsoft/phi-2 on the HuggingFaceH4/ultrachat_200k dataset. It achieves the following results on the evaluation set:

Loss: 1.2210

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.1971	0.05	10000	1.2409
1.1911	0.1	20000	1.2349
1.4103	0.14	30000	1.2317
1.192	0.19	40000	1.2295
1.4831	0.24	50000	1.2275
1.2857	0.29	60000	1.2266
1.014	0.34	70000	1.2256
1.2777	0.38	80000	1.2251
0.9019	0.43	90000	1.2241
1.1926	0.48	100000	1.2235
1.2298	0.53	110000	1.2233
1.1102	0.58	120000	1.2228
1.3166	0.63	130000	1.2219
1.1452	0.67	140000	1.2217
1.308	0.72	150000	1.2217
0.9096	0.77	160000	1.2215
1.2817	0.82	170000	1.2211
1.2904	0.87	180000	1.2211
0.9066	0.91	190000	1.2210
1.1807	0.96	200000	1.2210

Framework versions

Transformers 4.35.0
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.14.1

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phi-sft-lora

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Model tree for VictorNanka/phi-2-sft-lora

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