File size: 4,028 Bytes
620b9f3 7d19968 620b9f3 d7e45b3 7d19968 620b9f3 d7e45b3 620b9f3 d7e45b3 620b9f3 7d19968 |
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 |
---
license: apache-2.0
library_name: transformers
tags:
- Mixtral 8x7B
- Mistral
- merge
- moe
model-index:
- name: radiantloom-mixtral-8x7b-fusion-dpo
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: 63.48
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
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: 82.49
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
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: 59.68
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
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: 55.2
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
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: 76.09
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
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: 50.19
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Radiantloom/radiantloom-mixtral-8x7b-fusion-dpo
name: Open LLM Leaderboard
---
<img src="https://huggingface.co./aigeek0x0/radiantloom-mixtral-8x7b-fusion/resolve/main/Radiantloom-Mixtral-8x7B-Fusion.png" alt="Radiantloom Mixtral 8X7B Fusion" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
## Radiantloom Mixtral 8X7B Fusion DPO
This model is a finetuned version of [Radiantloom Mixtral 8X7B Fusion](https://huggingface.co./Radiantloom/radiantloom-mixtral-8x7b-fusion). It was finetuned using Direct Preference Optimization (DPO).
# [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_Radiantloom__radiantloom-mixtral-8x7b-fusion-dpo)
| Metric |Value|
|---------------------------------|----:|
|Avg. |64.52|
|AI2 Reasoning Challenge (25-Shot)|63.48|
|HellaSwag (10-Shot) |82.49|
|MMLU (5-Shot) |59.68|
|TruthfulQA (0-shot) |55.20|
|Winogrande (5-shot) |76.09|
|GSM8k (5-shot) |50.19|
|