---
license: apache-2.0
---
# FINGU-AI/QL-Specilize-78b

## Overview
`FINGU-AI/QL-Specilize-78b` is a powerful causal language model designed for a variety of natural language processing (NLP) tasks, including machine translation, text generation, and chat-based applications. This model is particularly useful for translating between languages, as well as supporting other custom NLP tasks through flexible input.

## Example Usage

### Installation
Make sure to install the required packages:

```bash
pip install torch transformers
```
### Loading the Model

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

# Model and Tokenizer
model_id = 'FINGU-AI/QL-Specilize-78b'
model = AutoModelForCausalLM.from_pretrained(model_id, attn_implementation="sdpa", torch_dtype=torch.float16, device_map='auto')
tokenizer = AutoTokenizer.from_pretrained(model_id)
model.to('cuda')

# Input Messages for Translation
messages = [
    {"role": "user", "content": "what is Machine learning?"}
]

# Tokenize and Generate Response
input_ids = tokenizer.apply_chat_template(
    messages,
    add_generation_prompt=True,
    return_tensors="pt"
).to('cuda')

outputs = model.generate(
    input_ids,
    max_new_tokens=500,
    do_sample=True,
)

# Decode and Print the Translation
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))
```