ModelHub XC 9f17fff470 初始化项目,由ModelHub XC社区提供模型
Model: allknowingroger/Qwenslerp2-7B
Source: Original Platform
2026-05-22 10:42:17 +08:00

license, library_name, tags, base_model, model-index
license library_name tags base_model model-index
apache-2.0 transformers
mergekit
merge
fblgit/cybertron-v4-qw7B-MGS
Tsunami-th/Tsunami-0.5x-7B-Instruct
name results
Qwenslerp2-7B
task dataset metrics source
type name
text-generation Text Generation
name type args
IFEval (0-Shot) HuggingFaceH4/ifeval
num_few_shot
0
type value name
inst_level_strict_acc and prompt_level_strict_acc 52.94 strict accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type args
BBH (3-Shot) BBH
num_few_shot
3
type value name
acc_norm 37.44 normalized accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type args
MATH Lvl 5 (4-Shot) hendrycks/competition_math
num_few_shot
4
type value name
exact_match 31.87 exact match
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type args
GPQA (0-shot) Idavidrein/gpqa
num_few_shot
0
type value name
acc_norm 8.39 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B 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 12.82 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B 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 39.06 accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/Qwenslerp2-7B 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 SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: fblgit/cybertron-v4-qw7B-MGS
  - model: Tsunami-th/Tsunami-0.5x-7B-Instruct
merge_method: slerp
base_model: fblgit/cybertron-v4-qw7B-MGS
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 30.42
IFEval (0-Shot) 52.94
BBH (3-Shot) 37.44
MATH Lvl 5 (4-Shot) 31.87
GPQA (0-shot) 8.39
MuSR (0-shot) 12.82
MMLU-PRO (5-shot) 39.06
Description
Model synced from source: allknowingroger/Qwenslerp2-7B
Readme 2 MiB