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---
tags:
- merge
- mergekit
- lazymergekit
- Kukedlc/Neural4gsm8k
- nlpguy/AlloyIngotNeoX
- automerger/OgnoExperiment27-7B
- vanillaOVO/supermario_v4
base_model:
- Kukedlc/Neural4gsm8k
- nlpguy/AlloyIngotNeoX
- automerger/OgnoExperiment27-7B
- vanillaOVO/supermario_v4
---
# NeuralTopBench-7B-ties
NeuralTopBench-7B-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/Neural4gsm8k](https://huggingface.co/Kukedlc/Neural4gsm8k)
* [nlpguy/AlloyIngotNeoX](https://huggingface.co/nlpguy/AlloyIngotNeoX)
* [automerger/OgnoExperiment27-7B](https://huggingface.co/automerger/OgnoExperiment27-7B)
* [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4)
## 🧩 Configuration
```yaml
models:
- model: CultriX/NeuralTrix-bf16
# no parameters necessary for base model
- model: Kukedlc/Neural4gsm8k
parameters:
weight: 0.3
density: 0.5
- model: nlpguy/AlloyIngotNeoX
parameters:
weight: 0.2
density: 0.5
- model: automerger/OgnoExperiment27-7B
parameters:
weight: 0.2
density: 0.5
- model: vanillaOVO/supermario_v4
parameters:
weight: 0.3
density: 0.5
merge_method: dare_ties
base_model: CultriX/NeuralTrix-bf16
parameters:
int8_mask: true
normalize: true
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/NeuralTopBench-7B-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"])
``` |