---
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ChaoticNeutrals/Prodigy_7B
- Test157t/Prima-LelantaclesV6-7b
model-index:
- name: Eris_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: 71.42
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: 87.99
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: 65.24
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: 66.95
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: 84.21
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: 66.26
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B
      name: Open LLM Leaderboard
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/GZPRq5YCQO6v8v-aF7CQt.png)

# Jeitral: "Eris, the Greek goddess of chaos and discord."

Notes: Model should be excellent for both RP/Chat related tasks. Seems to be working in both Alpaca/Chatml.

```Collaborative effort from both @Jeiku and @Nitral involving what we currently felt were our best individual projects.```

We hope you enjoy! - The Chaotic Neutrals.

Imatrix GGUF Quants Thanks to @Lewdiculus: https://huggingface.co./Lewdiculous/Eris_7B-GGUF-IQ-Imatrix

The following models were included in the merge:
* [ChaoticNeutrals/Prodigy_7B](https://huggingface.co./ChaoticNeutrals/Prodigy_7B)
* [Test157t/Prima-LelantaclesV6-7b](https://huggingface.co./Test157t/Prima-LelantaclesV6-7b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Test157t/Prima-LelantaclesV6-7b
        layer_range: [0, 32]
      - model: ChaoticNeutrals/Prodigy_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV6-7b
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
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_ChaoticNeutrals__Eris_7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.68|
|AI2 Reasoning Challenge (25-Shot)|71.42|
|HellaSwag (10-Shot)              |87.99|
|MMLU (5-Shot)                    |65.24|
|TruthfulQA (0-shot)              |66.95|
|Winogrande (5-shot)              |84.21|
|GSM8k (5-shot)                   |66.26|