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appvoid
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test-mix-01

Text Generation
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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="appvoid/test-mix-01")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("appvoid/test-mix-01")
model = AutoModelForCausalLM.from_pretrained("appvoid/test-mix-01")
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merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using appvoid/palmer-004-2406 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: appvoid/palmer-003
    parameters:
      density: 0.5
      weight: 0.5
  - model: Josephgflowers/TinyLlama-Cinder-Agent-v1
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: appvoid/palmer-004-2406
parameters:
  normalize: false
  int8_mask: true
dtype: float16
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