---
base_model:
- benhaotang/Phi-4-llama-t1-full
- prithivMLmods/Phi-4-QwQ
- win10/Phi-4-llama-t1-lora
library_name: transformers
tags:
- mergekit
- merge
datasets:
- NovaSky-AI/Sky-T1_data_17k
license: mit
---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [prithivMLmods/Phi-4-QwQ](https://huggingface.co/prithivMLmods/Phi-4-QwQ) as a base.

### Models Merged

The following models were included in the merge:
* [benhaotang/Phi-4-llama-t1-full](https://huggingface.co/benhaotang/Phi-4-llama-t1-full) but actually [win10/Phi-4-llama-t1-lora](https://huggingface.co/win10/Phi-4-llama-t1-lora), this is who and where you should really thank.
* [prithivMLmods/Phi-4-QwQ](https://huggingface.co/prithivMLmods/Phi-4-QwQ)

### Running

- With Ollama

```
ollama run hf.co/benhaotang/phi4-qwq-sky-t1-Q4_K_M-GGUF
```

I suggest adding `SYSTEM "You are a helpful AI asistent. You always think step by step."` to triger step by step reasoning.

- With pytorch

```
import transformers
tokenizer = AutoTokenizer.from_pretrained("mircosoft/phi-4")
pipeline = transformers.pipeline(
    "text-generation",
    model="benhaotang/phi4-qwq-sky-t1",
    tokenizer=tokenizer,
    device_map="auto",
)
messages = [
    {"role": "system", "content": "You are a helpful AI asistent. You always think step by step."},
    {"role": "user", "content": "Give me a short intodcution to renormalization group(RG) flow in physcis?"},
]
outputs = pipeline(messages, max_new_tokens=128)
print(outputs[0]["generated_text"])
```

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: prithivMLmods/Phi-4-QwQ
    #no parameters necessary for base model
  - model: benhaotang/Phi-4-llama-t1-full
    parameters:
      density: 0.5
      weight: 0.5
  - model: prithivMLmods/Phi-4-QwQ
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: prithivMLmods/Phi-4-QwQ
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```