MagpieLM-8B

win10/MagpieLM-8B

MagpieLM-8B is a machine learning model from win10. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

MagpieLM-8B is a merge of the following models using LazyMergekit: Magpie-Align/MagpieLM-4B-Chat-v0.1 Magpie-Align/MagpieLM-4B-Chat-v0.1

Downloads · 30 days

13% of all-time downloads

All-time downloads

130

Public

Parameters

7.9B

15.8 GB on disk

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors15.8 GB · 100%

At a glance

Model type: llama
Access: Public
Created: Oct 6, 2024
Updated: Oct 6, 2024
SHA: 80be091a

Base models

Magpie-Align/MagpieLM-4B-Chat-v0.1

Model card

From the Hugging Face model README

MagpieLM-8B

MagpieLM-8B is a merge of the following models using LazyMergekit:

🧩 Configuration

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 2]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1
- sources:
  - layer_range: [1, 3]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [2, 4]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1
- sources:
  - layer_range: [3, 5]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [4, 6]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                
- sources:
  - layer_range: [5, 7]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [6, 8]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1
- sources:
  - layer_range: [7, 9]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [8, 10]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1
                 
- sources:
  - layer_range: [9, 11]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [10, 12]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1  
- sources:
  - layer_range: [11, 13]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1     
- sources:
  - layer_range: [12, 14]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1
- sources:
  - layer_range: [13, 15]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                      
- sources:
  - layer_range: [14, 16]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1   
- sources:
  - layer_range: [16, 18]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [17, 19]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [18, 20]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [19, 21]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [20, 22]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [21, 23]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [22, 24]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [23, 25]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [24, 26]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [25, 27]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [26, 28]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                          
- sources:
  - layer_range: [27, 29]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                              
- sources:
  - layer_range: [28, 30]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1                                      
- sources:
  - layer_range: [29, 31]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1       
- sources:
  - layer_range: [29, 32]
    model: Magpie-Align/MagpieLM-4B-Chat-v0.1

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "win10/MagpieLM-8B"
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"])

Type: llama
Created: Oct 6, 2024
Updated: Oct 6, 2024