# Model Card for smol_bruin-7b

<!-- Provide a quick summary of what the model is/does. -->

Slerp merge of go-bruins-v2 and smol-7b.

.yaml file for mergekit

```.yaml:
slices:
  - sources:
      - model: rwitz/go-bruins-v2
        layer_range: [0, 32]
      - model: rishiraj/smol-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
  t:
    - filter: self_attn
      value: [0.44, 0.72, 0.61, 0.83, 1]
    - filter: mlp
      value: [0.56, 0.28, 0.39, 0.17, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: float16
```
{"license": "cc-by-4.0", "tags": ["mistral", "merge"], "pipeline_tag": "text-generation"}
transformers safetensors mistral text-generation merge license:cc-by-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us