Lix-14B-v0.1/README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- sthenno-com/miscii-14b-0218
- wanlige/li-14b-v0.4-slerp0.1
- wanlige/li-14b-v0.4
pipeline_tag: text-generation
model-index:
- name: Lix-14B-v0.1
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 78.13
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 51.47
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 52.95
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 16.0
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 13.42
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 47.94
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Lix-14B-v0.1
      name: Open LLM Leaderboard
---
# Merged Model

> [!TIP] This model is currently ranked #3 among the models up to 15B parameters and #59 among all models on the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard).

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [wanlige/li-14b-v0.4](https://huggingface.co/wanlige/li-14b-v0.4) as a base.

### Models Merged

The following models were included in the merge:
* [sthenno-com/miscii-14b-0218](https://huggingface.co/sthenno-com/miscii-14b-0218)
* [wanlige/li-14b-v0.4-slerp0.1](https://huggingface.co/wanlige/li-14b-v0.4-slerp0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
name:                Lix-14B-v0.1
merge_method:        model_stock
base_model:          wanlige/li-14b-v0.4
tokenizer_source:    base
dtype:               bfloat16
out_dtype:           bfloat16
parameters:
  int8_mask:         true
  normalize:         true
  rescale:           false
models:
  - model:           wanlige/li-14b-v0.4-slerp0.1
  - model:           sthenno-com/miscii-14b-0218
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/suayptalha__Lix-14B-v0.1-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |43.32|
|IFEval (0-Shot)    |78.13|
|BBH (3-Shot)       |51.47|
|MATH Lvl 5 (4-Shot)|52.95|
|GPQA (0-shot)      |16.00|
|MuSR (0-shot)      |13.42|
|MMLU-PRO (5-shot)  |47.94|

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