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---
language:
- en
license: unknown
tags:
- frankenmerge
- 103b
pipeline_tag: conversational
model-index:
- name: BigWeave-v15-103b
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: 69.71
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
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: 86.41
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
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: 71.25
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
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: 66.1
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
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: 80.35
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
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: 56.18
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=llmixer/BigWeave-v15-103b
name: Open LLM Leaderboard
---
# BigWeave v15 103b
<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 self-merge of 152334H/miqu-1-70b-sf. By conducting exl2 measurements, we identify the most relevant layers. These layers are then duplicated in pairs to ensure overlaps.
Merge configuration:
```
slices:
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [0,3]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [1,5]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [3,7]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [5,9]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [7,18]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [16,21]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [19,27]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [25,30]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [28,32]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [30,34]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [32,36]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [34,38]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [36,40]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [38,42]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [40,44]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [42,46]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [44,48]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [46,51]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [49,77]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [75,79]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [77,80]
merge_method: passthrough
dtype: float16
```
# [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-v15-103b)
| Metric |Value|
|---------------------------------|----:|
|Avg. |71.67|
|AI2 Reasoning Challenge (25-Shot)|69.71|
|HellaSwag (10-Shot) |86.41|
|MMLU (5-Shot) |71.25|
|TruthfulQA (0-shot) |66.10|
|Winogrande (5-shot) |80.35|
|GSM8k (5-shot) |56.18|
|