transformers safetensors mistral text-generation merge mergekit base_model:saishf/West-Hermes-7B base_model:seyf1elislam/KunaiBeagle-Hermes-7b autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- merge
- mergekit
base_model:
- saishf/West-Hermes-7B
- seyf1elislam/KunaiBeagle-Hermes-7b
---

# Franky_westKunai-hermes-1-7b

This is a merge of pre-trained language models created using mergekit.

## Merge Details
### Merge Method

This model was merged using pass through method

### Models Merged
The following models were included in the merge:
* [saishf/West-Hermes-7B](https://huggingface.co/saishf/West-Hermes-7B)
* [seyf1elislam/KunaiBeagle-Hermes-7b](https://huggingface.co/seyf1elislam/KunaiBeagle-Hermes-7b)

##  Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
  - sources:
    - model: saishf/West-Hermes-7B
      layer_range: [0, 20]
  - sources:
    - model: seyf1elislam/KunaiBeagle-Hermes-7b
      layer_range: [20, 32]
merge_method: passthrough
dtype: bfloat16
```
## Usage Example

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "seyf1elislam/Franky_westKunai-hermes-1-7b"
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"])
```