|
--- |
|
license: apache-2.0 |
|
tags: |
|
- Safetensors |
|
- text-generation-inference |
|
- merge |
|
model_name: T3qm7xNeuralsirkrishna_Multi_verse_modelM7 |
|
base_model: |
|
- automerger/T3qm7xNeuralsirkrishna-7B |
|
- automerger/Multi_verse_modelM7-7B |
|
inference: false |
|
model_creator: MaziyarPanahi |
|
pipeline_tag: text-generation |
|
quantized_by: MaziyarPanahi |
|
--- |
|
|
|
# T3qm7xNeuralsirkrishna_Multi_verse_modelM7 |
|
|
|
T3qm7xNeuralsirkrishna_Multi_verse_modelM7 is a merge of the following models: |
|
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B) |
|
* [automerger/Multi_verse_modelM7-7B](https://huggingface.co/automerger/Multi_verse_modelM7-7B) |
|
|
|
|
|
## 💻 Usage |
|
|
|
|
|
```python |
|
!pip install -qU transformers accelerate |
|
|
|
from transformers import AutoTokenizer |
|
import transformers |
|
import torch |
|
|
|
model = "MaziyarPanahi/T3qm7xNeuralsirkrishna_Multi_verse_modelM7" |
|
messages = [{"role": "user", "content": "What is a large language model?"}] |
|
|
|
tokenizer = AutoTokenizer.from_pretrained(model) |
|
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
|
pipeline = transformers.pipeline( |
|
"text-generation", |
|
model=model, |
|
torch_dtype=torch.float16, |
|
device_map="auto", |
|
) |
|
|
|
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
|
print(outputs[0]["generated_text"]) |
|
``` |
