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---
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"])
``` |