Mistral-7B-v0.3-prune6

This is a layer-pruned pre-trained language model sliced with mergekit. No additional training.

layer selection

Quick eval

Quick eval for: pszemraj/Mistral-7B-v0.3-prune6

hf (pretrained=pszemraj/Mistral-7B-v0.3-prune6,trust_remote_code=True,dtype=bfloat16), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 2

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
arc_easy	1	none	0	acc	0.6393	±	0.0099
		none	0	acc_norm	0.6309	±	0.0099
boolq	2	none	0	acc	0.7599	±	0.0075
lambada_openai	1	none	0	perplexity	10.1184	±	0.2771
		none	0	acc	0.5507	±	0.0069
openbookqa	1	none	0	acc	0.2200	±	0.0185
		none	0	acc_norm	0.3580	±	0.0215
piqa	1	none	0	acc	0.7203	±	0.0105
		none	0	acc_norm	0.7350	±	0.0103
winogrande	1	none	0	acc	0.6906	±	0.0130

original

bootstrapping for stddev: perplexity hf (pretrained=mistralai/Mistral-7B-v0.3,trust_remote_code=True,dtype=bfloat16), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 2

Tasks	Version	Filter	n-shot	Metric	Value		Stderr
arc_easy	1	none	0	acc	0.7959	±	0.0083
		none	0	acc_norm	0.7832	±	0.0085
boolq	2	none	0	acc	0.8202	±	0.0067
lambada_openai	1	none	0	perplexity	3.2578	±	0.0601
		none	0	acc	0.7518	±	0.0060
openbookqa	1	none	0	acc	0.3340	±	0.0211
		none	0	acc_norm	0.4420	±	0.0222
piqa	1	none	0	acc	0.8009	±	0.0093
		none	0	acc_norm	0.8215	±	0.0089
winogrande	1	none	0	acc	0.7380	±	0.0124

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• mistralai/Mistral-7B-v0.3

Configuration

The following YAML configuration was used to produce this model:

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 22]
    model: mistralai/Mistral-7B-v0.3
- sources:
  - layer_range: [28, 32]
    model: mistralai/Mistral-7B-v0.3