|
--- |
|
base_model: |
|
- mistralai/Mistral-7B-v0.3 |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
license: apache-2.0 |
|
language: |
|
- en |
|
--- |
|
|
|
|
|
# Mistral-7B-v0.3-prune6 |
|
|
|
This is a layer-pruned pre-trained language model sliced with [mergekit](https://github.com/cg123/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](https://huggingface.co/mistralai/Mistral-7B-v0.3) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
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 |
|
``` |