license: cc-by-nc-4.0
model-index:
- name: Noromaid-13b-v0.3
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: 62.8
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
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: 84.42
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
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: 56.86
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
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: 50.73
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
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: 74.74
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
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: 23.05
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/Noromaid-13b-v0.3
name: Open LLM Leaderboard
Disclaimer:
This is a TEST version, don't expect everything to work!!!
Use simple alpaca. (Scroll down for simple downlading of the presets we use)
If you wanna give feedback or just chat with use consider joining our discord server: https://discord.gg/YEeCDkQd5d
Wanted a Noromaid with new datasets, complete retrain and normal alpaca instead of our own format. Well here it is, Noromaid-13b-v0.3. Suitable for RP, ERP and general stuff.
[Recommended generation settings - No settings yet(Please suggest some over in the Community tab!)]
Description
This repo contains fp16 files of Noromaid-13b-v0.3.
exl2[other quants linked on the hf] - by AzureBlack
Ratings:
Note: We have permission of all users to upload their ratings, we DONT screenshot random reviews without asking if we can put them here!
No ratings yet!
If you want your rating to be here, send us a message over on DC and we'll put up a screenshot of it here. DC name is "ikaridev" and "undi".
Alpaca:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Input:
{input}
### Response:
Training data used:
- no_robots dataset let the model have more human behavior, enhances the output.
- [Aesir Private RP dataset] New data from a new and never used before dataset, add fresh data, no LimaRP spam, this is 100% new. Thanks to the MinvervaAI Team and, in particular, Gryphe for letting us use it!
- [Another private Aesir dataset]
- [Yet ANOTHER private Aesir dataset]
- Spicyboros 3.1
- Toxic-dpo
Others
Undi: If you want to support me, you can here.
IkariDev: Visit my retro/neocities style website please kek
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 58.77 |
| AI2 Reasoning Challenge (25-Shot) | 62.80 |
| HellaSwag (10-Shot) | 84.42 |
| MMLU (5-Shot) | 56.86 |
| TruthfulQA (0-shot) | 50.73 |
| Winogrande (5-shot) | 74.74 |
| GSM8k (5-shot) | 23.05 |