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---
license: mit
tags:
- mergekit
- frankenstein
- merge
base_model:
- jondurbin/nontoxic-bagel-34b-v0.2
model-index:
- name: shqiponja-59b-v1
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: 70.05
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
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: 84.06
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
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: 75.54
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
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: 70.43
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
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: 80.27
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
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: 15.47
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nisten/shqiponja-59b-v1
name: Open LLM Leaderboard
---
# Shqiponja-59 V1
This is an untrained experimental 59B merged model.
Picked these two models specifically to compliment each others strengths.
### Models Merged
* NousResearch/Nous-Hermes-2-Yi-34B
* jondurbin/nontoxic-bagel-34b-v0.2
Merged using the Undi95 style passthrough merge method.
### The secret sauce
The following YAML configuration was used to produce this model:
```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 52]
model: /home/admin/nv1/nontoxic-bagel-34b-v0.2
- sources:
- layer_range: [8, 60]
model: /home/admin/nv1/Nous-Hermes-2-Yi-34B
```
# License MIT - Enjoy
# [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_nisten__shqiponja-59b-v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |65.97|
|AI2 Reasoning Challenge (25-Shot)|70.05|
|HellaSwag (10-Shot) |84.06|
|MMLU (5-Shot) |75.54|
|TruthfulQA (0-shot) |70.43|
|Winogrande (5-shot) |80.27|
|GSM8k (5-shot) |15.47|
|