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llmixer/BigWeave-v15-103b
BigWeave-v15-103b is a text generation model from llmixer. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as unknown.
<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600
Downloads · 30 days
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All-time downloads
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.safetensors206 GB · 100%
From the Hugging Face model README
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.
Mistral, Vicuna and Alpaca.
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
Detailed results can be found here
| 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 |