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ModelHub XC 464d6cbedb 初始化项目,由ModelHub XC社区提供模型
Model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
Source: Original Platform
2026-05-03 22:43:53 +08:00

5.6 KiB

base_model, library_name, tags, model-index, license
base_model library_name tags model-index license
rombodawg/Rombos-LLM-V2.5-Qwen-7b
suayptalha/Clarus-7B-v0.1
gz987/qwen2.5-7b-cabs-v0.3
prithivMLmods/WebMind-7B-v0.1
fblgit/cybertron-v4-qw7B-MGS
Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
transformers
mergekit
merge
name results
Qwen2.5-Dyanka-7B-Preview
task dataset metrics source
type name
text-generation Text Generation
name type split args
IFEval (0-Shot) wis-k/instruction-following-eval train
num_few_shot
0
type value name
inst_level_strict_acc and prompt_level_strict_acc 76.4 averaged accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
BBH (3-Shot) SaylorTwift/bbh test
num_few_shot
3
type value name
acc_norm 36.62 normalized accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
MATH Lvl 5 (4-Shot) lighteval/MATH-Hard test
num_few_shot
4
type value name
exact_match 48.79 exact match
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
GPQA (0-shot) Idavidrein/gpqa train
num_few_shot
0
type value name
acc_norm 8.95 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type args
MuSR (0-shot) TAUR-Lab/MuSR
num_few_shot
0
type value name
acc_norm 15.51 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test
num_few_shot
5
type value name
acc 37.51 accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview Open LLM Leaderboard
apache-2.0

Qwen2.5-Dyanka-7B-Preview

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the TIES merge method using gz987/qwen2.5-7b-cabs-v0.3 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: gz987/qwen2.5-7b-cabs-v0.3
    #no parameters necessary for base model
  - model: suayptalha/Clarus-7B-v0.1
    parameters:
      density: 0.2
      weight: 0.2
  - model: Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
    parameters:
      density: 0.2
      weight: 0.2
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
    parameters:
      density: 0.2
      weight: 0.2
  - model: prithivMLmods/WebMind-7B-v0.1
    parameters:
      density: 0.2
      weight: 0.2
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      density: 0.2
      weight: 0.2
      
merge_method: ties
base_model: gz987/qwen2.5-7b-cabs-v0.3
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric Value (%)
Average 37.30
IFEval (0-Shot) 76.40
BBH (3-Shot) 36.62
MATH Lvl 5 (4-Shot) 48.79
GPQA (0-shot) 8.95
MuSR (0-shot) 15.51
MMLU-PRO (5-shot) 37.51