README.md

---
language:
- en
license: cc-by-nc-4.0
model-index:
- name: Iambe-20b-DARE-v2
  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: 62.8
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      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: 84.53
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      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: 60.45
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      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: 53.85
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      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: 77.03
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      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: 33.28
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=athirdpath/Iambe-20b-DARE-v2
      name: Open LLM Leaderboard
---
<p align="center"><font size="5"> <i>Strange quirk: This model seems to need a context size of EXACTLY 4096 ONLY. I'm assuming this is a dares_ties effect?</i> </font></p>
<p align="center"><img src="https://i.ibb.co/pbpJHpk/iambe-sml.png"/><font size="6"> <b>Iambe-20b-DARE-v2</b> </font></p>
<p align="center"><font size="4"> <b>Alpaca prompt formatting</b> </font></p>

### Description

Named after a charming daughter of Echo and Pan in Greek myth, Iambe-20b-DARE-v2 is an improved [DARE](https://github.com/yule-BUAA/MergeLM) merge building on my recent experiments.

Iambe is intended to have the best realistically possible understanding of anatomy and of a scene's state for a 20b merge, while remaining personable and authentic in "voice". 

### Update Methodology

Noromaid and the general "no-robots" vibe didn't come through like I'd hoped in v1. My hypothesis is that the "soul" MythoMax and Noromaid have is probably distributed widely over many low-value deltas, due to the "ephemeral" nature of such a thing. 

My old base model was likely giving DARE conniption fits, so I replaced that with a truly vanilla 20b base model.

CleverGirl was updated to the DARE version, as Sir Hillary said, simply because it was there.

Without a large base of dare_ties models to compare to, I'm basically feeling my way through this intuitively, so here's to good results!

### Recipe
merge_method: dare_ties

  - base_model: athirdpath/BigLlama-20b-v1.1

  - model: Noromaid-20b-v0.1.1
   
      weight: 0.38 / density: 0.60
    
  - model: athirdpath/athirdpath/Eileithyia-20b
   
      weight: 0.22 / density: 0.40

  - model: athirdpath/CleverGirl-20b-Blended-v1.1-DARE
   
      weight: 0.40 / density: 0.33

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_athirdpath__Iambe-20b-DARE-v2)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |61.99|
|AI2 Reasoning Challenge (25-Shot)|62.80|
|HellaSwag (10-Shot)              |84.53|
|MMLU (5-Shot)                    |60.45|
|TruthfulQA (0-shot)              |53.85|
|Winogrande (5-shot)              |77.03|
|GSM8k (5-shot)                   |33.28|