---
language:
- en
license: unknown
tags:
- frankenmerge
- 110b
pipeline_tag: conversational
model-index:
- name: BigWeave-v20-110b
  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: 68.17
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      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: 88.54
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      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: 70.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      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: 62.47
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      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: 82.08
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      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: 36.39
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v20-110b
      name: Open LLM Leaderboard
---
# BigWeave v20 110b

<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>

The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.

# Prompting Format
Mistral, Vicuna and Alpaca.

# Merge process
This is a merge of 152334H/miqu-1-70b-sf and lizpreciatior/lzlv_70b_fp16_hf. By conducting exl2 measurements, we identify the least important layers of lzlv. These least important layers are extended with layers in-between to create longer series of consecutive layers. These slices are then inserted into miqu.

Merge configuration:
```
slices:
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [0, 1]
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [0, 1]
        parameters:
          weight: 0
  - sources:
    - model: 152334H/miqu-1-70b-sf
      layer_range: [1,26]
  - sources:
    - model: lizpreciatior/lzlv_70b_fp16_hf
      layer_range: [9,44]
  - sources:
    - model: 152334H/miqu-1-70b-sf
      layer_range: [27,52]
  - sources:
    - model: lizpreciatior/lzlv_70b_fp16_hf
      layer_range: [45,60]
  - sources:
    - model: 152334H/miqu-1-70b-sf
      layer_range: [53,79]
  - sources:
      - model: 152334H/miqu-1-70b-sf
        layer_range: [79, 80]
      - model: lizpreciatior/lzlv_70b_fp16_hf
        layer_range: [79, 80]
        parameters:
          weight: 0
merge_method: linear
parameters:
  weight: 1.0
dtype: float16
tokenizer_source: 152334H/miqu-1-70b-sf
```
# [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_llmixer__BigWeave-v20-110b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |68.03|
|AI2 Reasoning Challenge (25-Shot)|68.17|
|HellaSwag (10-Shot)              |88.54|
|MMLU (5-Shot)                    |70.51|
|TruthfulQA (0-shot)              |62.47|
|Winogrande (5-shot)              |82.08|
|GSM8k (5-shot)                   |36.39|