Franky_westKunai-hermes-1-7b
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using pass through method
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: saishf/West-Hermes-7B
layer_range: [0, 20]
- sources:
- model: seyf1elislam/KunaiBeagle-Hermes-7b
layer_range: [20, 32]
merge_method: passthrough
dtype: bfloat16
Usage Example
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "seyf1elislam/Franky_westKunai-hermes-1-7b"
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"])