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---
license: cc-by-nc-4.0
library_name: transformers
base_model:
- icefog72/IceLatteRP-7b
- icefog72/IceMochaccinoRP-7b
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
model-index:
- name: IceCaffeLatteRP-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: 69.03
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-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: 86.7
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-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: 64.34
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-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: 61.16
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-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: 81.29
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-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: 64.06
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=icefog72/IceCaffeLatteRP-7b
name: Open LLM Leaderboard
---
# IceCaffeLatteRP-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
My last merge that I'm using. For feedback [ST Discord model's topic](https://discord.com/channels/1100685673633153084/1245083435941236757)
- [4.2bpw-exl2](https://huggingface.co/icefog72/IceCaffeLatteRP-7b-4.2bpw-exl2)
Thx riveRiPH for
- [3.17bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-3.17bpw-h8-exl2)
- [4.32bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-4.32bpw-h8-exl2)
- [5.32bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-5.32bpw-h8-exl2)
- [6.33bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-6.33bpw-h8-exl2)
- [8.04bpw-exl2](https://huggingface.co/riveRiPH/IceCaffeLatteRP-7b-8.04bpw-h8-exl2)
Thx mradermacher for
- [GGUF](https://huggingface.co/mradermacher/IceCaffeLatteRP-7b-GGUF)
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* IceLatteRP-7b
* IceMochaccinoRP-7b
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: IceMochaccinoRP-7b
layer_range: [0, 32]
- model: IceLatteRP-7b
layer_range: [0, 32]
merge_method: slerp
base_model: IceLatteRP-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 # fallback for rest of tensors
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_icefog72__IceCaffeLatteRP-7b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.10|
|AI2 Reasoning Challenge (25-Shot)|69.03|
|HellaSwag (10-Shot) |86.70|
|MMLU (5-Shot) |64.34|
|TruthfulQA (0-shot) |61.16|
|Winogrande (5-shot) |81.29|
|GSM8k (5-shot) |64.06|
|