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powermove72/Elysium-Slerp
Elysium-Slerp is a text generation model from powermove72. Use it when you need the model to write or continue text. It is set up for transformers.
Elysium-Slerp is a merge of the following models using LazyMergekit: powermove72/TrinityNotus-xb powermove72/SoMix-xb
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From the Hugging Face model README
Elysium-Slerp is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: powermove72/Trinity_Notus-xb
layer_range: [0, 50]
- model: powermove72/SoMix-xb
layer_range: [0, 50]
merge_method: slerp
base_model: powermove72/Trinity_Notus-xb
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "powermove72/Elysium-Slerp"
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"])