Don't mind those at the moment, I need to finetune them for RP, it's just some tests.

WARNING: This model specifically need EOS token I completely forgot to put on the json files, and need to check what was the right ones trough the mix. Please don't use it like this if you really want to review it.

slices:
  - sources:
    - model: "/content/drive/MyDrive/CC-v1.1-7B-bf16"
      layer_range: [0, 24]
  - sources:
    - model: "/content/drive/MyDrive/Zephyr-7B"
      layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16

================================================

slices:
  - sources:
      - model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
        layer_range: [0, 48]
      - model: Undi95/Mistral-11B-OpenOrcaPlatypus
        layer_range: [0, 48]
merge_method: slerp
base_model: "/content/drive/MyDrive/Mistral-11B-CC-Zephyr"
parameters:
  t:
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16

hf-causal-experimental (pretrained=/content/drive/MyDrive/Mistral-11B-Test), limit: None, provide_description: False, num_fewshot: 0, batch_size: 4

Task Version Metric Value Stderr
arc_challenge 0 acc 0.5623 ± 0.0145
acc_norm 0.5794 ± 0.0144
arc_easy 0 acc 0.8354 ± 0.0076
acc_norm 0.8165 ± 0.0079
hellaswag 0 acc 0.6389 ± 0.0048
acc_norm 0.8236 ± 0.0038
piqa 0 acc 0.8139 ± 0.0091
acc_norm 0.8264 ± 0.0088
truthfulqa_mc 1 mc1 0.3978 ± 0.0171
mc2 0.5607 ± 0.0155
winogrande 0 acc 0.7451 ± 0.0122

image/png