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---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- rmdhirr/Foxglove_7B
- ResplendentAI/Paradigm_Shift_7B
- merge
- mergekit
- roleplay
- mistral
base_model:
- rmdhirr/Foxglove_7B
- ResplendentAI/Paradigm_Shift_7B
model-index:
- name: Anthesis_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=rmdhirr/Anthesis_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: 86.2
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 62.06
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 68.65
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 78.93
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 42.99
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_7B
name: Open LLM Leaderboard
---
# 🏵️ Anthesis_7B
Anthesis_7B is a merge of the following models:
* [rmdhirr/Foxglove_7B](https://huggingface.co/rmdhirr/Foxglove_7B)
* [ResplendentAI/Paradigm_Shift_7B](https://huggingface.co/ResplendentAI/Paradigm_Shift_7B)
# Formatting/Preset
Alpaca works best, but Mistral gives good outputs as well.
# Configuration
```yaml
models:
- model: ResplendentAI/Paradigm_Shift_7B
# no parameters necessary for base model
- model: rmdhirr/Foxglove_7B
parameters:
density: 0.60
weight: 0.40
merge_method: dare_ties
base_model: ResplendentAI/Paradigm_Shift_7B
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_rmdhirr__Anthesis_7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |67.97|
|AI2 Reasoning Challenge (25-Shot)|69.03|
|HellaSwag (10-Shot) |86.20|
|MMLU (5-Shot) |62.06|
|TruthfulQA (0-shot) |68.65|
|Winogrande (5-shot) |78.93|
|GSM8k (5-shot) |42.99|
|