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louisbrulenaudet/DevPearl-7B-dare-ties
DevPearl-7B-dare-ties is a text generation model from louisbrulenaudet. Use it when you need the model to write or continue text. It is set up for diffusers. The card lists the license as apache-2.0.
03-22-2024 - To date, louisbrulenaudet/Pearl-34B-ties is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.
Downloads · 30 days
143
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.safetensors13.5 GB · 100%
From the Hugging Face model README
03-22-2024 - To date, louisbrulenaudet/Pearl-34B-ties is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.
DevPearl-7B-dare-ties is a merge of the following models :
models:
- model: codellama/CodeLlama-7b-Instruct-hf
- model: deepseek-ai/deepseek-coder-6.7b-instruct
parameters:
density: 0.53
weight: 0.7
- model: defog/sqlcoder-7b-2
parameters:
density: 0.45
weight: 0.3
merge_method: dare_ties
base_model: codellama/CodeLlama-7b-Instruct-hf
parameters:
int8_mask: true
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/DevPearl-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"])