metadata
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- HumanLLMs/Human-Like-Qwen2.5-7B-Instruct
- bunnycore/Qwen-2.5-7b-rp-lora
model-index:
- name: Q2.5-Humane-RP
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: 44.12
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
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: 37.65
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
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: 30.44
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
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: 9.17
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
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: 15.33
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
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: 38.8
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Q2.5-Humane-RP
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Quant: https://huggingface.co/Triangle104/Q2.5-Humane-RP-Q4_K_M-GGUF
Merge Method
This model was merged using the passthrough merge method using HumanLLMs/Human-Like-Qwen2.5-7B-Instruct + bunnycore/Qwen-2.5-7b-rp-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: HumanLLMs/Human-Like-Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-rp-lora
dtype: bfloat16
merge_method: passthrough
models:
- model: HumanLLMs/Human-Like-Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-rp-lora
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.25 |
| IFEval (0-Shot) | 44.12 |
| BBH (3-Shot) | 37.65 |
| MATH Lvl 5 (4-Shot) | 30.44 |
| GPQA (0-shot) | 9.17 |
| MuSR (0-shot) | 15.33 |
| MMLU-PRO (5-shot) | 38.80 |