metadata
library_name: transformers
tags:
- mergekit
- merge
base_model:
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
model-index:
- name: FrankenQwen2.5-14B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 18.69
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 44.27
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 0
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 2.68
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 5.53
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 37.57
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
layer_range: [0, 8]
- sources:
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
layer_range: [8, 24]
parameters:
scale:
- filter: q_proj
value: 0.919
- filter: k_proj
value: 0.919
- value: 1.0
- sources:
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
layer_range: [16, 24]
parameters:
scale:
- filter: q_proj
value: 0.7
- filter: k_proj
value: 0.7
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
layer_range: [16, 32]
parameters:
scale:
- filter: q_proj
value: 0.919
- filter: k_proj
value: 0.919
- value: 1.0
- sources:
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
layer_range: [32, 40]
merge_method: passthrough
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 18.13 |
| IFEval (0-Shot) | 18.69 |
| BBH (3-Shot) | 44.27 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 2.68 |
| MuSR (0-shot) | 5.53 |
| MMLU-PRO (5-shot) | 37.57 |