---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- hf-100/Llama-3-Spellbound-Instruct-8B-0.3
- unsloth/Meta-Llama-3.1-8B
- arcee-ai/Llama-3.1-SuperNova-Lite
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- THUDM/LongWriter-llama3.1-8b
- ResplendentAI/Smarts_Llama3
- djuna/L3.1-Suze-Vume-2-calc
- djuna/L3.1-ForStHS
- Blackroot/Llama-3-8B-Abomination-LORA
model-index:
- name: L3.1-Purosani-2-8B
  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: 49.88
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      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: 31.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      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: 10.12
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      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: 6.82
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      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: 8.3
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      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: 30.57
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/L3.1-Purosani-2-8B
      name: Open LLM Leaderboard
---
# merge

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 della_linear merge method using [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) as a base.

### Models Merged

The following models were included in the merge:
* [hf-100/Llama-3-Spellbound-Instruct-8B-0.3](https://huggingface.co/hf-100/Llama-3-Spellbound-Instruct-8B-0.3)
* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B)
* [THUDM/LongWriter-llama3.1-8b](https://huggingface.co/THUDM/LongWriter-llama3.1-8b) + [ResplendentAI/Smarts_Llama3](https://huggingface.co/ResplendentAI/Smarts_Llama3)
* [djuna/L3.1-Suze-Vume-2-calc](https://huggingface.co/djuna/L3.1-Suze-Vume-2-calc)
* [djuna/L3.1-ForStHS](https://huggingface.co/djuna/L3.1-ForStHS) + [Blackroot/Llama-3-8B-Abomination-LORA](https://huggingface.co/Blackroot/Llama-3-8B-Abomination-LORA)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: della_linear
dtype: bfloat16
parameters:
  epsilon: 0.1
  lambda: 1.0
  int8_mask: true
  normalize: true
base_model: unsloth/Meta-Llama-3.1-8B
models:
  - model: arcee-ai/Llama-3.1-SuperNova-Lite+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
    parameters:
      weight: 1
      density: 0.5
  - model: hf-100/Llama-3-Spellbound-Instruct-8B-0.3
    parameters:
      weight: 1
      density: 0.45
  - model: djuna/L3.1-Suze-Vume-2-calc
    parameters:
      weight: 1
      density: 0.45
  - model: THUDM/LongWriter-llama3.1-8b+ResplendentAI/Smarts_Llama3
    parameters:
      weight: 1
      density: 0.55
  - model: djuna/L3.1-ForStHS+Blackroot/Llama-3-8B-Abomination-LORA
    parameters:
      weight: 1
      density: 0.5

```

# [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/details_djuna__L3.1-Purosani-2-8B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.85|
|IFEval (0-Shot)    |49.88|
|BBH (3-Shot)       |31.39|
|MATH Lvl 5 (4-Shot)|10.12|
|GPQA (0-shot)      | 6.82|
|MuSR (0-shot)      | 8.30|
|MMLU-PRO (5-shot)  |30.57|