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flammen4-mistral-7B

This is a merge of pre-trained language models created using mergekit. Quantized to GGUF-Q4_K_M using llama.cpp.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: nbeerbower/Flammen-Trismegistus-7B
    layer_range: [0, 32]
  - model: Gille/StrangeMerges_30-7B-slerp
    layer_range: [0, 32]
merge_method: slerp
base_model: nbeerbower/Flammen-Trismegistus-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
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Model size
7.24B params
Architecture
llama

4-bit

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