README.md

---
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

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6379683a81c1783a4a2ddba8/sARxzfxybGafVxGc8PrTx.png)

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|