File size: 1,369 Bytes
f1f5fff 02b0a34 f1f5fff 03b5d6b 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff 02b0a34 f1f5fff |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
tags:
- KingNish
- Power Series
- llama
- llama-3
- merge
- mergekit
- lazymergekit
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
license: llama3
library_name: transformers
pipeline_tag: text-generation
---
# Power Llama 3 13B Instruct
Power Llama 3 13B Instruct is a Very Powerful Model under **POWER SERIES**. It's Creativity, Problem Solving skills, Maths and Logic is better than Meta Llama 3 70B and Beats all 13b Models.
## 🧩 Evaluation
Coming Soon
## 💻 Usage
Same as Llama 3 But
Best in Creative writing, Logical Reasoning, Translation, Maths, Coding, etc.
## Code
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "refine-ai/Power-Llama-3-13b"
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=4096, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |