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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- localfultonextractor/Erosumika-7B
- Nitral-AI/Infinitely-Laydiculous-7B
- Kunocchini-7b-128k-test
- Endevor/EndlessRP-v3-7B
- ChaoticNeutrals/BuRP_7B
- daybreak-kunoichi-2dpo-7b
model-index:
- name: Confluence-Renegade-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: 31.91
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-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: 45.38
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-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: 31.48
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-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: 51.47
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-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: 63.14
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-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: 0.0
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nekochu/Confluence-Renegade-7B
name: Open LLM Leaderboard
---
My first merge of RP models 7B using mergekit, They are just r/ trend RP, half is BuRP_7B. not used any, **Dumb** merge but hopfully lucky merge! ^^'
## Update 03/2024:
- Original model Card Confluence-Renegade-7B <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Renegade-7B-v2-8.0bpw-h8-exl2">[8.0bpw-exl]</a>
- Added Model and merge recipe branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/Confluence-Renegade-7B-v2/mergekit_config.yml">Confluence-Renegade-7B-v2</a>
- Added Model and merge recipe branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-11B-v2/mergekit_config.yml">RoleBeagle-Moistral-11B-v2</a> <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-7B-v2/mergekit_config.yml">[7B truncated]</a> and Quants <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/RoleBeagle-Moistral-11B-v2-2.4bpw-h6-exl2/mergekit_config.yml">RoleBeagle-Moistral-11B-v2-2.4bpw-h6-exl2</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/RoleBeagle-Moistral-11B-v2-4.25bpw-h6-exl2">4.25bpw-h6</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/RoleBeagle-Moistral-11B-v2-8.0bpw-h8-exl2">8.0bpw-h8</a>
- Added Branch: <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/blob/Confluence-Shortcake-20B/mergekit_config.yml"> Confluence-Shortcake-20B Model recipes</a> and Quants here <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-2.4bpw-h6-exl2">Confluence-Shortcake-20B-2.4bpw-h6-exl2</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-4.25bpw-h6-exl2">4.25bpw-h6</a>, <a href="https://huggingface.co/Nekochu/Confluence-Renegade-7B/tree/Confluence-Shortcake-20B-8.0bpw-h8-exl2">8.0bpw-h8</a>
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/d38LuOG.png" alt="Nekochu" style="width: 250%; min-width: 400px; display: block; margin: auto;">
</div>
Name symbolize by *Confluence* for many unique RP model with *Renegade* mostly come from no-guardrail.
## Download branch instructions
```shell
git clone --single-branch --branch Confluence-Shortcake-20B-2.4bpw-h6-exl2 https://huggingface.co/Nekochu/Confluence-Renegade-7B
```
### Configuration Confluence-Renegade-7B
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ./modela/Erosumika-7B
parameters:
density: [1, 0.8, 0.6]
weight: 0.2
- model: ./modela/Infinitely-Laydiculous-7B
parameters:
density: [0.9, 0.7, 0.5]
weight: 0.2
- model: ./modela/Kunocchini-7b-128k-test
parameters:
density: [0.8, 0.6, 0.4]
weight: 0.2
- model: ./modela/EndlessRP-v3-7B
parameters:
density: [0.7, 0.5, 0.3]
weight: 0.2
- model: ./modela/daybreak-kunoichi-2dpo-7b
parameters:
density: [0.5, 0.3, 0.1]
weight: 0.2
merge_method: dare_linear
base_model: ./modela/Mistral-7B-v0.1
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
name: intermediate-model
---
slices:
- sources:
- model: intermediate-model
layer_range: [0, 32]
- model: ./modela/BuRP_7B
layer_range: [0, 32]
merge_method: slerp
base_model: intermediate-model
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
name: gradient-slerp
```
```mergekit-mega config.yml ./output-model-directory --cuda --allow-crimes --lazy-unpickle```
### Models Merged Confluence-Renegade-7B
The following models were included in the merge:
- [localfultonextractor/Erosumika-7B](https://huggingface.co/localfultonextractor/Erosumika-7B)
- [Nitral-AI/Infinitely-Laydiculous-7B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-7B)
- [Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
- [Endevor/EndlessRP-v3-7B](https://huggingface.co/Endevor/EndlessRP-v3-7B)
- [ChaoticNeutrals/BuRP_7B](https://huggingface.co/ChaoticNeutrals/BuRP_7B)
- [daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b)
# [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_Nekochu__Confluence-Renegade-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |37.23|
|AI2 Reasoning Challenge (25-Shot)|31.91|
|HellaSwag (10-Shot) |45.38|
|MMLU (5-Shot) |31.48|
|TruthfulQA (0-shot) |51.47|
|Winogrande (5-shot) |63.14|
|GSM8k (5-shot) | 0.00|
|