
![logo](thumbn.png)

# merge

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

Code credit: [this excellent medium blog](https://medium.com/towards-data-science/merge-large-language-models-with-mergekit-2118fb392b54)

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using CultriX/NeuralTrix-7B-dpo as a base.

### Models Merged

The following models were included in the merge:
* mlabonne/NeuralBeagle14-7B
* HuggingFaceH4/zephyr-7b-alpha

### Benchmarks

#### Open LLM Leaderboard 
| Model                          | Average | ARC  | HellaSwag | MMLU  | TruthfulQA | Winogrande | GSM8K |
| ------------------------------ | ------- | ---- | --------- | ----- | ---------- | ---------- | ----- |
| mayacinka/NeuralZephyr-Beagle-7B | 71.57   | 68.6 | 86.38     | 64.67 | 65.17      | 81.14      | 63.46 |


### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: CultriX/NeuralTrix-7B-dpo
  - model: HuggingFaceH4/zephyr-7b-alpha
    parameters:
      density: 0.83
      weight: 0.4
  - model: mlabonne/NeuralBeagle14-7B
    parameters: 
      density: 0.83
      weight: 0.6
merge_method: dare_ties
base_model: CultriX/NeuralTrix-7B-dpo
parameters:
  int8_mask: true
dtype: bfloat16
```

# Inference 

```python
# pip install transformers

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/NeuralZephyr-Beagle-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"])
```
{"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["CultriX/NeuralTrix-7B-dpo"]}
transformers safetensors mistral text-generation mergekit merge arxiv:2311.03099 arxiv:2306.01708 base_model:CultriX/NeuralTrix-7B-dpo license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us