File size: 4,320 Bytes
0a6670b 9eb40fb 0a6670b 9eb40fb 0a6670b 9046a7e 0a6670b 9046a7e 0a6670b 9eb40fb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 |
---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- merge
- mergekit
- mistral
- MTSAIR/multi_verse_model
- ResplendentAI/Paradigm_7B
base_model:
- MTSAIR/multi_verse_model
- ResplendentAI/Paradigm_7B
model-index:
- name: Multiparadigm_7B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 73.21
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 88.95
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.28
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 76.87
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 83.82
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 69.37
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
name: Open LLM Leaderboard
---
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/kmTOHCPDzyflcIrXPzgT5.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">
# 🌠 Multiparadigm_7B
Multiparadigm_7B is a merge of the following models:
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [ResplendentAI/Paradigm_7B](https://huggingface.co/ResplendentAI/Paradigm_7B)
# Configuration
```yaml
slices:
- sources:
- model: MTSAIR/multi_verse_model
layer_range: [0, 32]
- model: ResplendentAI/Paradigm_7B
layer_range: [0, 32]
merge_method: slerp
base_model: MTSAIR/multi_verse_model
parameters:
t:
- filter: self_attn
value: [0, 0.6, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.6, 0.7, 0.3, 0]
- value: 0.6
dtype: bfloat16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Multiparadigm_7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |76.08|
|AI2 Reasoning Challenge (25-Shot)|73.21|
|HellaSwag (10-Shot) |88.95|
|MMLU (5-Shot) |64.28|
|TruthfulQA (0-shot) |76.87|
|Winogrande (5-shot) |83.82|
|GSM8k (5-shot) |69.37|
|