Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- arcee-ai/Llama-3.1-SuperNova-Lite
- unsloth/Llama-3.1-Storm-8B
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
random_seed: 145.0
slices:
- sources:
- layer_range: [0, 32]
model: unsloth/Llama-3.1-Storm-8B
parameters:
density: 0.95
weight: 0.29
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.93
weight: 0.26
- layer_range: [0, 32]
model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
parameters:
density: 0.92
weight: 0.25
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.92
weight: 0.2
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer:
tokens:
<|begin_of_text|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
<|eot_id|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
<|finetune_right_pad_id|>:
force: true
source: unsloth/Meta-Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value (%) |
---|---|
Average | 30.73 |
IFEval (0-Shot) | 78.83 |
BBH (3-Shot) | 32.64 |
MATH Lvl 5 (4-Shot) | 20.02 |
GPQA (0-shot) | 9.62 |
MuSR (0-shot) | 10.70 |
MMLU-PRO (5-shot) | 32.60 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard78.830
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard32.640
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard20.020
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.620
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.700
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard32.600