merge

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

Merge Details

  • This model is an attempt at making a smart rp model with the finesse of Epiculous/Fett-uccine-7B.
  • From limited testing i've found it to be my favourite of my personal 7B models. It stays pretty coherent at 8k+ ctx.
  • I like to use "Alpaca" format with "Universal-Light" for longer messages. Switching to ChatML causes the messages to be much shorter? I haven't a clue why but sometimes it's nice.
  • It doesn't seem to show many issues but i'd be willing to try to fix any problems or bugs as it shows some potential.

Merge Method

This model was merged using the DARE TIES merge method using OpenPipe/mistral-ft-optimized-1227 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: OpenPipe/mistral-ft-optimized-1227
    # No parameters necessary for base model
  - model: Epiculous/Fett-uccine-7B
    parameters:
      density: 0.53
      weight: 0.4
  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
    parameters:
      density: 0.53
      weight: 0.35
  - model: ChaoticNeutrals/Eris_7B
    parameters:
      density: 0.53
      weight: 0.25
merge_method: dare_ties
base_model: OpenPipe/mistral-ft-optimized-1227
parameters:
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 71.66
AI2 Reasoning Challenge (25-Shot) 68.77
HellaSwag (10-Shot) 87.33
MMLU (5-Shot) 63.65
TruthfulQA (0-shot) 71.91
Winogrande (5-shot) 80.82
GSM8k (5-shot) 57.47
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Model size
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Tensor type
BF16
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Evaluation results