Instructions to use DannyAI/phi4_african_history_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DannyAI/phi4_african_history_lora with Transformers:

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

pipe = pipeline("text-generation", model="DannyAI/phi4_african_history_lora")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("DannyAI/phi4_african_history_lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DannyAI/phi4_african_history_lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DannyAI/phi4_african_history_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": "DannyAI/phi4_african_history_lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DannyAI/phi4_african_history_lora

SGLang

How to use DannyAI/phi4_african_history_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 "DannyAI/phi4_african_history_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": "DannyAI/phi4_african_history_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 "DannyAI/phi4_african_history_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": "DannyAI/phi4_african_history_lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DannyAI/phi4_african_history_lora with Docker Model Runner:
```
docker model run hf.co/DannyAI/phi4_african_history_lora
```

DannyAI commited on Jan 27

Commit

907de02

verified ·

1 Parent(s): 96e38f7

Update to Lora Config

Browse files

Files changed (1) hide show

README.md +6 -6

README.md CHANGED Viewed

@@ -145,12 +145,12 @@ African feminist scholarly activism is significant in contemporary resistance mo
 - logging_steps=10
 ### Lora Configuration
-- r=8
-- lora_alpha=16
-- target_modules=["q_proj", "v_proj", "k_proj", "o_proj"]
-- lora_dropout = 0.05 # dataset is small, hence a low dropout value
-- bias = "none"
-- task_type="CAUSAL_LM"
 ## Evaluation

 - logging_steps=10
 ### Lora Configuration
+- r: 8
+- lora_alpha: 16
+- target_modules: ["q_proj", "v_proj", "k_proj", "o_proj"]
+- lora_dropout: 0.05 # dataset is small, hence a low dropout value
+- bias: "none"
+- task_type: "CAUSAL_LM"
 ## Evaluation