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JoPmt/DeepMeeker-7B-Base-Ties
DeepMeeker-7B-Base-Ties is a machine learning model from JoPmt. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
DeepMeeker-7B-Base-Ties is a merge of the following models using LazyMergekit: ise-uiuc/Magicoder-DS-6.7B deepseek-ai/deepseek-coder-6.7b-base
Downloads · 30 days
15
27% of all-time downloads
All-time downloads
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6.7B
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.safetensors13.5 GB · 100%
From the Hugging Face model README
DeepMeeker-7B-Base-Ties is a merge of the following models using LazyMergekit:
models:
- model: ise-uiuc/Magicoder-DS-6.7B
parameters:
weight: 1
density: 1
- model: deepseek-ai/deepseek-coder-6.7b-base
parameters:
weight: 1
density: 1
merge_method: ties
base_model: ise-uiuc/Magicoder-DS-6.7B
parameters:
weight: 1
density: 1
normalize: true
int8_mask: false
dtype: float16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "JoPmt/DeepMeeker-7B-Base-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"])