Instructions to use sudipto-ducs/InLegalLLaMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sudipto-ducs/InLegalLLaMA with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sudipto-ducs/InLegalLLaMA")
model = AutoModelForCausalLM.from_pretrained("sudipto-ducs/InLegalLLaMA", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sudipto-ducs/InLegalLLaMA with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/sudipto-ducs/InLegalLLaMA

SGLang

How to use sudipto-ducs/InLegalLLaMA 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 "sudipto-ducs/InLegalLLaMA" \
    --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": "sudipto-ducs/InLegalLLaMA",
		"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 "sudipto-ducs/InLegalLLaMA" \
        --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": "sudipto-ducs/InLegalLLaMA",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sudipto-ducs/InLegalLLaMA with Docker Model Runner:
```
docker model run hf.co/sudipto-ducs/InLegalLLaMA
```

sudipto-ducs commited on May 30, 2024

Commit

c3c274a

verified ·

1 Parent(s): c923d47

update model card

Browse files

Files changed (1) hide show

README.md +8 -5

README.md CHANGED Viewed

@@ -1,20 +1,23 @@
 ---
 license: llama2
-library_name: peft
 tags:
 - llama-factory
-- lora
-- generated_from_trainer
 base_model: meta-llama/Llama-2-7b-hf
 model-index:
 - name: inlegalllama-pt-15-04-2024
   results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
-# inlegalllama-pt-15-04-2024
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the inlegalllama-laws and the inlegalllama-sci datasets.
@@ -57,4 +60,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2

 ---
 license: llama2
 tags:
 - llama-factory
+- legal
 base_model: meta-llama/Llama-2-7b-hf
 model-index:
 - name: inlegalllama-pt-15-04-2024
   results: []
+datasets:
+- sudipto-ducs/InLegalLLaMA-data
+language:
+- en
+pipeline_tag: text-generation
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
+# InLegalLLaMA
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the inlegalllama-laws and the inlegalllama-sci datasets.
 - Transformers 4.39.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
+- Tokenizers 0.15.2