|
--- |
|
widget: |
|
- text: 'The meaning of life is to ' |
|
datasets: |
|
- tatsu-lab/alpaca |
|
- ehartford/ultrachat-uncensored |
|
- codeparrot/github-code |
|
language: |
|
- en |
|
library_name: transformers |
|
pipeline_tag: conversational |
|
--- |
|
|
|
# Dromedary - 7B |
|
Dromedary is our uncensored flagship model, designed for programming tasks and communication. Dromedary is a fine-tune of [LLAMA-2](https://huggingface.co/meta-llama/Llama-2-7b). |
|
Dromedary was fine-tuned on 3 public datasets and on 1 private dataset (synthetic, by our model GPT-LIO.), ranging from programming to healthcare advice. |
|
#### This model **supports** both chat and text completion |
|
# Technical Information |
|
Dromedary is a model designed to be unbiased and uncensored. However, this model was detoxified. (we dont want any bad people!!!) |
|
The model was tuned with two RTX 8000s, at 1 epoch. |
|
|
|
# Usage |
|
|
|
```python |
|
|
|
from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("intone/Dromedary-7B") |
|
model = AutoModelForCausalLM.from_pretrained("intone/Dromedary-7B", device_map="auto", torch_dtype='auto') |
|
|
|
messages = [ |
|
{"role": "user", "content": "Hi, how are you?"} |
|
] |
|
|
|
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt') |
|
output_ids = model.generate(input_ids.to('cuda')) |
|
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True) |
|
|
|
print(response) # --> "Hello! How can I assist you today?" |
|
``` |
