README.md

---
license: mit
library_name: transformers
tags:
- mergekit
- merge
base_model:
- rhysjones/phi-2-orange-v2
- Weyaxi/Einstein-v4-phi2
model-index:
- name: L-MChat-Small
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 61.6
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 75.9
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 57.41
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 49.94
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 74.98
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 58.98
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=Artples/L-MChat-Small
      name: Open LLM Leaderboard
---

## L-MChat-Small

<div style="text-align:center;width:250px;height:250px;">
    <img src="https://priority.cdn.leunos.com/logo-l-mchat-rs.png" alt="L-MChat-Series-Logo"">
</div>

This was a test of mine how small merges perform, because there are a lot of 7b merges and higher but not a lot of 2b merges.

### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [rhysjones/phi-2-orange-v2](https://huggingface.co./rhysjones/phi-2-orange-v2)
* [Weyaxi/Einstein-v4-phi2](https://huggingface.co./Weyaxi/Einstein-v4-phi2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
- sources:
  - model: Weyaxi/Einstein-v4-phi2
    layer_range:
    - 0
    - 32
  - model: rhysjones/phi-2-orange-v2
    layer_range:
    - 0
    - 32
merge_method: slerp
base_model: rhysjones/phi-2-orange-v2
parameters:
  t:
  - filter: self_attn
    value:
    - 0
    - 0.5
    - 0.3
    - 0.7
    - 1
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.5
dtype: bfloat16
```

## Usage

Use it with the ChatML format, you can also use the Inference-API for this Model.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_Artples__L-MChat-Small)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |63.14|
|AI2 Reasoning Challenge (25-Shot)|61.60|
|HellaSwag (10-Shot)              |75.90|
|MMLU (5-Shot)                    |57.41|
|TruthfulQA (0-shot)              |49.94|
|Winogrande (5-shot)              |74.98|
|GSM8k (5-shot)                   |58.98|