Silver-Sun-11B
I'd like to experiment more with merging 11B, hopefully adding more options of this weight class. This model is good at writing and reasoning, with a preference for more profane NSFW language when the appropriate cards are used. I've been having fun with it so far, although at times it can be a bit blunt, although some may prefer that. It's also highly uncensored.
Works best with Alpaca instruction presets.
Merge Details
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- ABX-AI/Solstice-FKL-11B
A mixture of Sao10K/Solstice-11B-v1 and saishf/Fimbulvetr-Kuro-Lotus-10.7B
- Himitsui/Kaiju-11B
OpenLLM Eval Results
Detailed Results + Failed GSM8K
I had to remove GSM8K from the results and manually re-average the rest. GSM8K failed due to some issue with formatting, which is not experienced during practical usage. By removing the GSM8K score, the average is VERY close to upstage/SOLAR-10.7B-v1.0 (74.20), which would make sense. Feel free to ignore the actual average and use the other scores individually for reference.
Metric | Value |
---|---|
Avg. | 74.13 |
AI2 Reasoning Challenge (25-Shot) | 69.80 |
HellaSwag (10-Shot) | 87.91 |
MMLU (5-Shot) | 66.90 |
TruthfulQA (0-shot) | 61.89 |
Winogrande (5-shot) | 84.14 |
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: ABX-AI/Solstice-FKL-11B
layer_range: [0, 48]
- model: Himitsui/Kaiju-11B
layer_range: [0, 48]
merge_method: slerp
base_model: ABX-AI/Solstice-FKL-11B
parameters:
t:
- filter: self_attn
value: [0.6, 0.7, 0.8, 0.9, 1]
- filter: mlp
value: [0.4, 0.3, 0.2, 0.1, 0]
- value: 0.5
dtype: bfloat16
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