BigWeave v27 95b
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
Chatml, Mistral, Vicuna.
Merge process
This is a self-merge of 152334H/miqu-1-70b-sf. The 30 most important layers (according to exl2 measurements) are duplicated with 50% overlap.
Merge configuration:
slices:
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [0,40]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [34,45] # dup 34-44
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [40,52]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [51,53] # dup 51-52
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [52,55]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [54,56] # dup 54-55
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [55,59]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [58,60] # dup 58-59
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [59,72]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [64,79] # dup 64-78
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [72,80]
merge_method: passthrough
dtype: float16
- Downloads last month
- 86
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for llmixer/BigWeave-v27-95b
Base model
152334H/miqu-1-70b-sf