How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="balnazzar/Frankie-tiny")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("balnazzar/Frankie-tiny")
model = AutoModelForCausalLM.from_pretrained("balnazzar/Frankie-tiny")
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Frankie-tiny

Frankie-tiny is a (franken)merge of the following models using mergekit:

🧩 Configuration

slices:
  - sources:
    - model: Locutusque/TinyMistral-248M-v2-Instruct
      layer_range: [0, 12]
  - sources:
    - model: Locutusque/TinyMistral-248M-v2-Instruct
      layer_range: [8, 12]
merge_method: passthrough
dtype: float16
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Safetensors
Model size
0.3B params
Tensor type
F16
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