| --- |
| license: llama3.1 |
| inference: false |
| fine-tuning: false |
| tags: |
| - llama3.1 |
| base_model: meta-llama/Llama-3.1-70B-Instruct |
| pipeline_tag: text-generation |
| library_name: transformers |
| --- |
| # NoxtuaCompliance |
|
|
| Noxtua-Compliance-70B-V1 is a specialized large language model designed for legal compliance applications. It is finetuned from the Llama-3-70B-Instruct model using a custom legal cases dataset to understand more complex contexts and achieve precise results when analyzing complex legal issues. |
|
|
| ## Model details |
|
|
| Model Name: Noxtua-Compliance-70B-V1 |
|
|
| Base Model: Llama-3-70B-Instruct |
|
|
| Parameter Count: 70 billion |
|
|
| ## Run with vllm |
|
|
| ```bash |
| docker run --runtime nvidia --gpus=all -v ~/.cache/huggingface:/root/.cache/huggingface -p 8000:8000 --ipc=host vllm/vllm-openai:v0.6.6.post1 --model ACATECH/ncos --tensor-parallel-size=2 --disable-log-requests --max-model-len 120000 --gpu-memory-utilization 0.95 |
| ``` |
|
|
| ## Use with transformers |
|
|
| See the snippet below for usage with Transformers: |
|
|
| ```python |
| import torch |
| import transformers |
| |
| model_id = "ACATECH/ncos" |
| tokenizer = transformers.AutoTokenizer.from_pretrained(model_id) |
| tokenizer.pad_token_id = tokenizer.eos_token_id |
| |
| pipeline = transformers.pipeline( |
| "text-generation", |
| model=model_id, |
| tokenizer=tokenizer, |
| max_new_tokens=1024, |
| torch_dtype = torch.float16, |
| device_map="auto", |
| trust_remote_code=True |
| ) |
| |
| messages = [ |
| {"role": "system", "content": "You are an intelligent AI assistant in the legal domain called Noxtua NCOS from the company Xayn. You will assist the user with care, respect and professionalism. Always answer in the same language as the question. Freely use legal jargon."}, |
| {"role": "user", "content": "Carry out an entire authority check of the following text."}, |
| ] |
| |
| print(pipeline(messages)) |
| ``` |
|
|
| Please consider setting temperature = 0 to get consistent outputs. |
|
|
| ### Framework versions |
|
|
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu121 |
|
|
| ## Recommended Hardware |
|
|
| Running this model requires 2 or more 80GB GPUs, e.g. NVIDIA A100, with at least 150GB of free disk space. |
