metadata
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
base_model: []
model-index:
- name: Ice0.40-20.11-RP
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 47.63
name: strict accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 31.51
name: normalized accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 6.27
name: exact match
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 7.61
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 14.27
name: acc_norm
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 23.32
name: accuracy
source:
url: >-
https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=icefog72/Ice0.40-20.11-RP
name: Open LLM Leaderboard
IceDrunkenCherryRP (Ice0.40-20.11-RP)
Quants and settings-rules-lorebooks will be added in a while.
In general Alpaca format will work.
It shoud handle 16-25k context window, maybe 32k.
This is a merge of pre-trained language models created using mergekit.
Exl2 Quants
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- icefog72/Ice0.29-06.11-RP
- icefog72/Ice0.37-18.11-RP
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: icefog72/Ice0.37-18.11-RP
layer_range: [0, 32]
- model: icefog72/Ice0.29-06.11-RP
layer_range: [0, 32]
merge_method: slerp
base_model: icefog72/Ice0.37-18.11-RP
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 # fallback for rest of tensors
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.77 |
| IFEval (0-Shot) | 47.63 |
| BBH (3-Shot) | 31.51 |
| MATH Lvl 5 (4-Shot) | 6.27 |
| GPQA (0-shot) | 7.61 |
| MuSR (0-shot) | 14.27 |
| MMLU-PRO (5-shot) | 23.32 |