
# Fulcrum_Aura3

Fulcrum_Aura3 is a merge of a couple of open source models that have been merged with the Dare Ties method and further fine tuned.

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: mistralai/Mistral-7B-v0.1
        layer_range: [0, 32]
      - model: samir-fama/SamirGPT-v1
        layer_range: [0, 32]
        parameters:
          density: 0.53
          weight: 0.4
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Spanicin/Fulcrum_Aura3"
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"])
```
{"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-v0.1", "samir-fama/SamirGPT-v1"]}
transformers safetensors mistral text-generation merge mergekit lazymergekit mistralai/Mistral-7B-v0.1 samir-fama/SamirGPT-v1 license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us