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ryan0712
/
llama-3-8b-slow-DUS-max-layer1-method2

Text Generation
Transformers
Safetensors
llama
Merge
mergekit
lazymergekit
NousResearch/Meta-Llama-3-8B
Inference Endpoints
text-generation-inference
Model card Files Community
llama-3-8b-slow-DUS-max-layer1-method2
File size: 4,599 Bytes 
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---
tags:
- merge
- mergekit
- lazymergekit
- NousResearch/Meta-Llama-3-8B
base_model:
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
- NousResearch/Meta-Llama-3-8B
---

# llama-3-8b-slow-DUS-layer1-method2

llama-3-8b-slow-DUS-layer1-method2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)
* [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B)

## 🧩 Configuration

```yaml
slices:

      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [0, 1]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [1, 2]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [2, 3]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [3, 4]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [4, 5]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [5, 6]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [6, 7]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [7, 8]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [8, 9]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [9, 10]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [10, 11]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [11, 12]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [12, 13]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [13, 14]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [14, 15]
    
      - sources:
          - model: NousResearch/Meta-Llama-3-8B
            layer_range: [30, 31]
    
merge_method: passthrough
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "ryan0712/llama-3-8b-slow-DUS-layer1-method2"
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"])
```