README.md

---
license: apache-2.0
tags:
- merge
---

# mistral-7b-merged-dare-v2

mistral-7b-merged-dare-v2 is a merge of the following models:

## 🧩 Configuration

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
  - model: samir-fama/SamirGPT-v1
    parameters:
      density: 0.53
      weight: 0.4
  - model: abacusai/Slerp-CM-mist-dpo
    parameters:
      density: 0.53
      weight: 0.3
  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
    parameters:
      density: 0.53
      weight: 0.3
  - model: Weyaxi/Einstein-v4-7B
    parameters:
      density: 0.53
      weight: 0.3            
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

```
## 💻 Usage
```python
!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mistral-7b-merged-dare_6x7"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Why the sky is blue"}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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"])
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__mistral-7b-merged-dare_6x7)


|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.46|
|AI2 Reasoning Challenge (25-Shot)|69.62|
|HellaSwag (10-Shot)              |87.04|
|MMLU (5-Shot)                    |65.18|
|TruthfulQA (0-shot)              |66.98|
|Winogrande (5-shot)              |80.58|
|GSM8k (5-shot)                   |71.34|