metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- unsloth/Qwen2.5-7B-Instruct
- nbeerbower/R1-Qwen-7B-LORA
model-index:
- name: Q2.5-R1-7B
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: 13.46
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
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: 2.55
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
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: 1.66
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
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: 0.34
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
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: 2.69
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
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: 2
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-R1-7B
name: Open LLM Leaderboard
Merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Qwen2.5-7B-Instruct tied with Reasoning LORA.
Merge Method
This model was merged using the Passthrough merge method using unsloth/Qwen2.5-7B-Instruct + nbeerbower/R1-Qwen-7B-LORA as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Qwen2.5-7B-Instruct+nbeerbower/R1-Qwen-7B-LORA
dtype: float16
merge_method: passthrough
models:
- model: unsloth/Qwen2.5-7B-Instruct+nbeerbower/R1-Qwen-7B-LORA
tokenizer_source: unsloth/Qwen2.5-7B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 3.78 |
IFEval (0-Shot) | 13.46 |
BBH (3-Shot) | 2.55 |
MATH Lvl 5 (4-Shot) | 1.66 |
GPQA (0-shot) | 0.34 |
MuSR (0-shot) | 2.69 |
MMLU-PRO (5-shot) | 2.00 |