---
tags:
- merge
- mergekit
- lazymergekit
- WizardLM/WizardCoder-33B-V1.1
- codefuse-ai/CodeFuse-DeepSeek-33B
- deepseek-ai/deepseek-coder-33b-instruct

base_model:
- deepseek-ai/deepseek-coder-33b-instruct

license: apache-2.0
---

# ValidateAI-2-33B-Ties

 ValidateAI-2-33B-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct)
* [WizardLM/WizardCoder-33B-V1.1](https://huggingface.co/WizardLM/WizardCoder-33B-V1.1)
* [codefuse-ai/CodeFuse-DeepSeek-33B](https://huggingface.co/codefuse-ai/CodeFuse-DeepSeek-33B)
* 

## 🧩 Configuration

```yaml
models:
  - model: WizardLM_WizardCoder-33B-V1.1
    parameters:
      density: 1
      weight: .5
  - model: codefuse-ai_CodeFuse-DeepSeek-33B
    parameters:
      density: 1
      weight: .5
merge_method: ties
base_model: deepseek-ai_deepseek-coder-33b-instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "arvindanand/ValidateAI-3-33B-Ties"
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"])
```