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---
tags:
- merge
- mergekit
- lazymergekit
- not-for-all-audiences
license: llama3
language:
- en
library_name: transformers
pipeline_tag: text-generation
base_model:
- grimjim/Llama-3-Oasis-v1-OAS-8B
- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
- Sao10K/L3-8B-Stheno-v3.2
---
# Jamet-8B-Stheno-BlackOasis-8B-test001
Jamet-8B-Stheno-BlackOasis-8B-test001 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [grimjim/Llama-3-Oasis-v1-OAS-8B](https://huggingface.co/grimjim/Llama-3-Oasis-v1-OAS-8B)
* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
## 🧩 Configuration
```yaml
models:
- model: grimjim/Llama-3-Oasis-v1-OAS-8B
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
- model: Sao10K/L3-8B-Stheno-v3.2
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Casual-Autopsy/Jamet-8B-Stheno-BlackOasis-8B-test001"
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"])
``` |