---
tags:
- merge
- mergekit
- lazymergekit
- mistralai/Mistral-7B-Instruct-v0.2
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- cognitivecomputations/dolphin-2.8-mistral-7b-v02
license: apache-2.0
---

<img src="https://cdn-uploads.huggingface.co/production/uploads/6389d3c61e8755d777902366/-_AiKUEsY3x-N7oY52fdE.jpeg" style="border-radius:6%; width: 33%">

# pandafish-2-7b-32k

pandafish-2-7b-32k is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)


## 💬 Try it

[Playground on Huggingface Space](https://huggingface.co/spaces/ichigoberry/pandafish-2-7b-32k)

Chat template: Mistral Instruct


## ⚡ Quantized models

- **GGUF**: [ichigoberry/pandafish-2-7b-32k-GGUF](https://huggingface.co/ichigoberry/pandafish-2-7b-32k-GGUF)
- **GGUF**: [mradermacher/pandafish-2-7b-32k-GGUF](https://huggingface.co/mradermacher/pandafish-2-7b-32k-GGUF)
- **MLX**: [4bit](https://huggingface.co/mlx-community/pandafish-dt-7b-4bit)
- **EXL2**: [bartowski/pandafish-2-7b-32k-exl2](https://huggingface.co/bartowski/pandafish-2-7b-32k-exl2)


## 🏆 Evals

|                                   Model                                   |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|---------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|🐡 [**pandafish-2-7b-32k**](https://huggingface.co/ichigoberry/pandafish-2-7b-32k) [📄](https://gist.github.com/tosh/de1769c43db88d94353ca481f4bc418f)|   **40.8**|  **73.35**|     57.46|   **42.69**|  53.57|
|[Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) [📄](https://gist.github.com/tosh/578fa995f985b178b65a7675168b145c)|   38.5|  71.64|     66.82|   42.29|  **54.81**|
|[dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) [📄](https://gist.github.com/tosh/424bf090fa49d6117f4cffe6373e4060)|  38.99|  72.22|     **51.96**|   40.41|   50.9|


## 🧩 Configuration

```yaml
models:
  - model: alpindale/Mistral-7B-v0.2-hf
    # No parameters necessary for base model
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.53
      weight: 0.4
  - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: alpindale/Mistral-7B-v0.2-hf
parameters:
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "ichigoberry/pandafish-2-7b-32k"
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"])
```