neo_7b-slerp
neo_7b-slerp is a merge of the following models using LazyMergekit:
𧩠Configuration
slices:
- sources:
- model: m-a-p/neo_7b
layer_range: [0, 1]
- model: m-a-p/neo_7b
layer_range: [1, 2]
- sources:
- model: m-a-p/neo_7b
layer_range: [2, 3]
- model: m-a-p/neo_7b
layer_range: [3, 4]
- sources:
- model: m-a-p/neo_7b
layer_range: [4, 5]
- model: m-a-p/neo_7b
layer_range: [5,6]
- sources:
- model: m-a-p/neo_7b
layer_range: [6, 7]
- model: m-a-p/neo_7b
layer_range: [7, 8]
- sources:
- model: m-a-p/neo_7b
layer_range: [8, 9]
- model: m-a-p/neo_7b
layer_range: [9, 10]
- sources:
- model: m-a-p/neo_7b
layer_range: [10, 11]
- model: m-a-p/neo_7b
layer_range: [11, 12]
- sources:
- model: m-a-p/neo_7b
layer_range: [12, 13]
- model: m-a-p/neo_7b
layer_range: [13, 14]
- sources:
- model: m-a-p/neo_7b
layer_range: [14, 15]
- model: m-a-p/neo_7b
layer_range: [15, 16]
- sources:
- model: m-a-p/neo_7b
layer_range: [16, 17]
- model: m-a-p/neo_7b
layer_range: [17, 18]
- sources:
- model: m-a-p/neo_7b
layer_range: [18, 19]
- model: m-a-p/neo_7b
layer_range: [19, 20]
- sources:
- model: m-a-p/neo_7b
layer_range: [20, 21]
- model: m-a-p/neo_7b
layer_range: [21, 22]
- sources:
- model: m-a-p/neo_7b
layer_range: [22, 23]
- model: m-a-p/neo_7b
layer_range: [23, 24]
- sources:
- model: m-a-p/neo_7b
layer_range: [24, 25]
- model: m-a-p/neo_7b
layer_range: [25, 26]
- sources:
- model: m-a-p/neo_7b
layer_range: [26, 27]
- model: m-a-p/neo_7b
layer_range: [27, 28]
merge_method: slerp
base_model: m-a-p/neo_7b
parameters:
t: 0.5
dtype: bfloat16
π» Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "DewEfresh/neo_7b-slerp"
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"])
- Downloads last month
- 10
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for DewEfresh/neo_7b-slerp
Base model
m-a-p/neo_7b
Finetuned
this model