Files
Llama3.1-8B-PlumChat/README.md
ModelHub XC 0423c01e10 初始化项目,由ModelHub XC社区提供模型
Model: sequelbox/Llama3.1-8B-PlumChat
Source: Original Platform
2026-05-22 06:16:12 +08:00

4.5 KiB

library_name, tags, base_model, license, model-index
library_name tags base_model license model-index
transformers
mergekit
merge
conversational
chat
instruct
meta-llama/Llama-3.1-8B-Instruct
sequelbox/Llama3.1-8B-MOTH
ValiantLabs/Llama3.1-8B-ShiningValiant2
llama3.1
name results
Llama3.1-8B-PlumChat
task dataset metrics
type name
text-generation Text Generation
name type args
Winogrande (5-Shot) Winogrande
num_few_shot
5
type value name
acc 72.22 acc
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 42.43 strict accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat 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 13.94 normalized accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat 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 3.1 exact match
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat 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 2.01 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat 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 4.77 acc_norm
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat 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 12.52 accuracy
url name
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sequelbox/Llama3.1-8B-PlumChat Open LLM Leaderboard

PlumChat

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

Merge Details

Merge Method

This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: della
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: ValiantLabs/Llama3.1-8B-ShiningValiant2
    parameters:
      density: 0.5
      weight: 0.3
  - model: sequelbox/Llama3.1-8B-MOTH
    parameters:
      density: 0.5
      weight: 0.21
base_model: meta-llama/Llama-3.1-8B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 13.13
IFEval (0-Shot) 42.43
BBH (3-Shot) 13.94
MATH Lvl 5 (4-Shot) 3.10
GPQA (0-shot) 2.01
MuSR (0-shot) 4.77
MMLU-PRO (5-shot) 12.52