
# airoboros-m-7b-3.1.2-dare-0.85-Mistral-7B-Instruct-v0.1

airoboros-m-7b-3.1.2-dare-0.85-Mistral-7B-Instruct-v0.1 is a merge of the following models:
* [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
* [uukuguy/airoboros-m-7b-3.1.2-dare-0.85](https://huggingface.co/uukuguy/airoboros-m-7b-3.1.2-dare-0.85)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: mistralai/Mistral-7B-Instruct-v0.1
        layer_range: [0, 32]
      - model: uukuguy/airoboros-m-7b-3.1.2-dare-0.85
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.1
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 = "MaziyarPanahi/airoboros-m-7b-3.1.2-dare-0.85-Mistral-7B-Instruct-v0.1"
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", "tags": ["Safetensors", "mistral", "text-generation-inference", "merge", "mistral", "7b", "mistralai/Mistral-7B-Instruct-v0.1", "uukuguy/airoboros-m-7b-3.1.2-dare-0.85", "transformers", "pytorch", "mistral", "text-generation", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us"]}
transformers safetensors mistral text-generation Safetensors text-generation-inference merge 7b mistralai/Mistral-7B-Instruct-v0.1 uukuguy/airoboros-m-7b-3.1.2-dare-0.85 pytorch license:apache-2.0 autotrain_compatible endpoints_compatible region:us conversational