metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Qwen/Qwen2.5-14B-Instruct-1M
- huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
model-index:
- name: Q2.5-14B-Instruct-1M-Harmony
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: 59.86
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
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: 47.26
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
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: 35.73
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
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: 16.67
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
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: 19.68
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
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: 45.28
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-14B-Instruct-1M-Harmony
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the TIES merge method using Qwen/Qwen2.5-14B-Instruct-1M 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: huihui-ai/Qwen2.5-14B-Instruct-1M-abliterated
parameters:
density: 1
weight: 1
- model: Qwen/Qwen2.5-14B-Instruct-1M
parameters:
density: 1
weight: 1
merge_method: ties
base_model: Qwen/Qwen2.5-14B-Instruct-1M
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 37.41 |
| IFEval (0-Shot) | 59.86 |
| BBH (3-Shot) | 47.26 |
| MATH Lvl 5 (4-Shot) | 35.73 |
| GPQA (0-shot) | 16.67 |
| MuSR (0-shot) | 19.68 |
| MMLU-PRO (5-shot) | 45.28 |