gguf endpoints_compatible region:us conversational
---
{}
---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


Power-Llama-3-13b-Instruct - GGUF
- Model creator: https://huggingface.co/refine-ai/
- Original model: https://huggingface.co/refine-ai/Power-Llama-3-13b-Instruct/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Power-Llama-3-13b-Instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q2_K.gguf) | Q2_K | 4.75GB |
| [Power-Llama-3-13b-Instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.IQ3_XS.gguf) | IQ3_XS | 5.27GB |
| [Power-Llama-3-13b-Instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.IQ3_S.gguf) | IQ3_S | 5.54GB |
| [Power-Llama-3-13b-Instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q3_K_S.gguf) | Q3_K_S | 5.51GB |
| [Power-Llama-3-13b-Instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.IQ3_M.gguf) | IQ3_M | 5.7GB |
| [Power-Llama-3-13b-Instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q3_K.gguf) | Q3_K | 6.08GB |
| [Power-Llama-3-13b-Instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q3_K_M.gguf) | Q3_K_M | 6.08GB |
| [Power-Llama-3-13b-Instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q3_K_L.gguf) | Q3_K_L | 6.58GB |
| [Power-Llama-3-13b-Instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.IQ4_XS.gguf) | IQ4_XS | 6.81GB |
| [Power-Llama-3-13b-Instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q4_0.gguf) | Q4_0 | 7.08GB |
| [Power-Llama-3-13b-Instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.IQ4_NL.gguf) | IQ4_NL | 7.16GB |
| [Power-Llama-3-13b-Instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q4_K_S.gguf) | Q4_K_S | 7.13GB |
| [Power-Llama-3-13b-Instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q4_K.gguf) | Q4_K | 7.51GB |
| [Power-Llama-3-13b-Instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q4_K_M.gguf) | Q4_K_M | 7.51GB |
| [Power-Llama-3-13b-Instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q4_1.gguf) | Q4_1 | 7.83GB |
| [Power-Llama-3-13b-Instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q5_0.gguf) | Q5_0 | 8.57GB |
| [Power-Llama-3-13b-Instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q5_K_S.gguf) | Q5_K_S | 8.57GB |
| [Power-Llama-3-13b-Instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q5_K.gguf) | Q5_K | 8.78GB |
| [Power-Llama-3-13b-Instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q5_K_M.gguf) | Q5_K_M | 8.78GB |
| [Power-Llama-3-13b-Instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q5_1.gguf) | Q5_1 | 9.31GB |
| [Power-Llama-3-13b-Instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q6_K.gguf) | Q6_K | 10.14GB |
| [Power-Llama-3-13b-Instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/refine-ai_-_Power-Llama-3-13b-Instruct-gguf/blob/main/Power-Llama-3-13b-Instruct.Q8_0.gguf) | Q8_0 | 13.13GB |




Original model description:
---
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.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6612aedf09f16e7347dfa7e1/3XYEuQ7hXj-dh9abDL2u7.png)

## 🧩 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"])
```

