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mehemmedz/vorden_v1_merged
vorden_v1_merged is a machine learning model from mehemmedz. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
vordenv1merged is a merge of the following models using LazyMergekit: unsloth/gemma-4-12b-it
Downloads · 30 days
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17% of all-time downloads
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From the Hugging Face model README
vorden_v1_merged is a merge of the following models using LazyMergekit:
base_model: unsloth/gemma-4-12b-it
dtype: float16
merge_method: passthrough
slices:
- sources:
- model: unsloth/gemma-4-12b-it
layer_range: [0, 48]
adapters:
- model: mehemmedz/vorden_v1
parameters:
weight: 1.0
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "mehemmedz/vorden_v1_merged"
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"])