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---
language:
- en
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Epiculous/Fett-uccine-7B
- eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
- OpenPipe/mistral-ft-optimized-1227
- ChaoticNeutrals/Eris_7B
pipeline_tag: text-generation
model-index:
- name: Fett-Eris-Mix-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: 68.77
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-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: 87.33
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-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: 63.65
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-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: 71.91
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-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: 80.82
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-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: 57.47
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Fett-Eris-Mix-7B
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
* This model is an attempt at making a smart rp model with the finesse of [Epiculous/Fett-uccine-7B](https://huggingface.co./Epiculous/Fett-uccine-7B).
* From limited testing i've found it to be my favourite of my personal 7B models. It stays pretty coherent at 8k+ ctx.
* I like to use "Alpaca" format with "Universal-Light" for longer messages. Switching to ChatML causes the messages to be much shorter? I haven't a clue why but sometimes it's nice.
* It doesn't seem to show many issues but i'd be willing to try to fix any problems or bugs as it shows some potential.
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co./OpenPipe/mistral-ft-optimized-1227) as a base.
### Models Merged
The following models were included in the merge:
* [Epiculous/Fett-uccine-7B](https://huggingface.co./Epiculous/Fett-uccine-7B)
* [eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2](https://huggingface.co./eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2)
* [ChaoticNeutrals/Eris_7B](https://huggingface.co./ChaoticNeutrals/Eris_7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: OpenPipe/mistral-ft-optimized-1227
# No parameters necessary for base model
- model: Epiculous/Fett-uccine-7B
parameters:
density: 0.53
weight: 0.4
- model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
parameters:
density: 0.53
weight: 0.35
- model: ChaoticNeutrals/Eris_7B
parameters:
density: 0.53
weight: 0.25
merge_method: dare_ties
base_model: OpenPipe/mistral-ft-optimized-1227
parameters:
int8_mask: true
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_saishf__Fett-Eris-Mix-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.66|
|AI2 Reasoning Challenge (25-Shot)|68.77|
|HellaSwag (10-Shot) |87.33|
|MMLU (5-Shot) |63.65|
|TruthfulQA (0-shot) |71.91|
|Winogrande (5-shot) |80.82|
|GSM8k (5-shot) |57.47|
|