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Gille/StrangeMerges_44-7B-dare_ties
StrangeMerges_44-7B-dare_ties is a text generation model from Gille. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
StrangeMerges44-7B-dareties is a merge of the following models using LazyMergekit: Nexusflow/Starling-LM-7B-beta nlpguy/T3QM7 AurelPx/Percival01-7b-slerp
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From the Hugging Face model README
StrangeMerges_44-7B-dare_ties is a merge of the following models using LazyMergekit:
models:
- model: Nexusflow/Starling-LM-7B-beta
parameters:
weight: 0.3
density: 0.53
- model: nlpguy/T3QM7
parameters:
weight: 0.2
density: 0.53
- model: AurelPx/Percival_01-7b-slerp
parameters:
weight: 0.5
density: 0.53
base_model: liminerity/M7-7b
merge_method: dare_ties
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Gille/StrangeMerges_44-7B-dare_ties"
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"])