---
base_model:
- microsoft/Phi-3-small-8k-instruct
library_name: transformers
tags:
- mergekit
- merge
license: mit
language:
- en
---
# Phi-3-small-8k-instruct: 6 layers pruned

This is a layer-pruned language model created using [mergekit](https://github.com/cg123/mergekit). Layers to prune were selected based off of the average distances as follows:

![image](phi3small.png)

## Quick eval

Quick eval for:	pszemraj/Phi-3-small-8k-prune6


hf (pretrained=pszemraj/Phi-3-small-8k-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       | 0.7479|±  |0.0089|
|              |       |none  |     0|acc_norm  | 0.7125|±  |0.0093|
|boolq         |      2|none  |     0|acc       | 0.7489|±  |0.0076|
|lambada_openai|      1|none  |     0|perplexity|27.3270|±  |1.0861|
|              |       |none  |     0|acc       | 0.3600|±  |0.0067|
|openbookqa    |      1|none  |     0|acc       | 0.3360|±  |0.0211|
|              |       |none  |     0|acc_norm  | 0.4020|±  |0.0219|
|piqa          |      1|none  |     0|acc       | 0.7182|±  |0.0105|
|              |       |none  |     0|acc_norm  | 0.7329|±  |0.0103|
|winogrande    |      1|none  |     0|acc       | 0.7143|±  |0.0127|


## Usage

While some further pre-training will be good, it seems capable of generating coherent text as is.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "microsoft/Phi-3-small-8k-instruct", trust_remote_code=True
)
model = AutoModelForCausalLM.from_pretrained(
    "pszemraj/Phi-3-small-8k-prune6", trust_remote_code=True
)
```

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [microsoft/Phi-3-small-8k-instruct](https://huggingface.co/microsoft/Phi-3-small-8k-instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 25]
    model: microsoft/Phi-3-small-8k-instruct
- sources:
  - layer_range: [31, 32]
    model: microsoft/Phi-3-small-8k-instruct
```