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Open_Maid_Samantha_Hermes_Orca/README.md
ModelHub XC 79b0fc3cc7 初始化项目,由ModelHub XC社区提供模型
Model: giraffe176/Open_Maid_Samantha_Hermes_Orca
Source: Original Platform
2026-05-27 13:24:19 +08:00

5.0 KiB

license, library_name, tags, base_model, model-index
license library_name tags base_model model-index
cc-by-nc-4.0 transformers
mergekit
merge
name results
Open_Maid_Samantha_Hermes_Orca
task dataset metrics source
type name
text-generation Text Generation
name type config split args
AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test
num_few_shot
25
type value name
acc_norm 66.81 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
HellaSwag (10-Shot) hellaswag validation
num_few_shot
10
type value name
acc_norm 85.83 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
MMLU (5-Shot) cais/mmlu all test
num_few_shot
5
type value name
acc 64.58 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
TruthfulQA (0-shot) truthful_qa multiple_choice validation
num_few_shot
0
type value
mc2 53.91
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
Winogrande (5-shot) winogrande winogrande_xl validation
num_few_shot
5
type value name
acc 80.35 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
GSM8k (5-shot) gsm8k main test
num_few_shot
5
type value name
acc 61.41 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Maid_Samantha_Hermes_Orca Open LLM Leaderboard

giraffe176/Open_Maid_Samantha_Hermes_Orca

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:

  • cognitivecomputations/samantha-1.1-westlake-7b
  • NeverSleep/Noromaid-7B-0.4-DPO
  • OpenHermes-2.5-Mistral-7B
  • Open-Orca/Mistral-7B-OpenOrca

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: cognitivecomputations/samantha-1.1-westlake-7b
    layer_range: [0, 32]
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    layer_range: [0, 32]
merge_method: slerp
base_model: NeverSleep/Noromaid-7B-0.4-DPO
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
name: workspace1
---
models:
  - model: teknium/OpenHermes-2.5-Mistral-7B
    layer_range: [0, 32]
  - model: Open-Orca/Mistral-7B-OpenOrca
    layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
name: workspace2
---
models:
  - model: workspace1
    layer_range: [0, 32]
  - model: workspace2
    layer_range: [0, 32]
merge_method: slerp
base_model: workspace1
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16






Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 68.81
AI2 Reasoning Challenge (25-Shot) 66.81
HellaSwag (10-Shot) 85.83
MMLU (5-Shot) 64.58
TruthfulQA (0-shot) 53.91
Winogrande (5-shot) 80.35
GSM8k (5-shot) 61.41