Scandi3

Scandi3 is a merge of the following models using LazyMergekit:

🧩 Configuration

  models:
    - model: timpal0l/BeagleCatMunin
      # No parameters necessary for base model
    - model: bineric/NorskGPT-Mistral-7b
      parameters:
        density: 0.53
        weight: 0.6
  merge_method: dare_ties
  base_model: timpal0l/BeagleCatMunin
  parameters:
    int8_mask: true
  dtype: bfloat16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "merge-crew/Scandi3"
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"])
Downloads last month
19
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for merge-crew/Scandi3

Finetuned
(2)
this model