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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- mrm8488/phi-2-coder
- microsoft/phi-2
- Yhyu13/phi-2-sft-dpo-gpt4_en-ep1
---
# Phixphi-4x2.7b
This model is a merge of the following models made with [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mrm8488/phi-2-coder](https://huggingface.co/mrm8488/phi-2-coder)
* [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)
* [Yhyu13/phi-2-sft-dpo-gpt4_en-ep1](https://huggingface.co/Yhyu13/phi-2-sft-dpo-gpt4_en-ep1)
## 🧩 Configuration
```yaml
models:
- model: mrm8488/phi-2-coder
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: microsoft/phi-2
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
- model: Yhyu13/phi-2-sft-dpo-gpt4_en-ep1
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: dare_ties
base_model: cognitivecomputations/dolphin-2_6-phi-2
parameters:
normalize: true
int8_mask: true
dtype: float16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "detakarang/Phixphi-4x2.7b"
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"])
``` |