README.md

---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
- not-for-all-audiences
base_model:
- Hastagaras/Halu-8B-Llama3-v0.3
- Blackroot/Llama-3-LongStory-LORA
- Hastagaras/Halu-8B-Llama3-v0.3
- Blackroot/Llama-3-8B-Abomination-LORA
- Hastagaras/Halu-8B-Llama3-v0.3
model-index:
- name: Halu-8B-Llama3-Blackroot
  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: 63.82
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      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: 84.55
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      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: 67.04
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      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: 53.28
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      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: 79.48
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      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: 70.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot
      name: Open LLM Leaderboard
---
## EXPERIMENTAL MODEL

**VERY IMPORTANT:** This model has not been extensively tested or evaluated, and its performance characteristics are currently unknown. It may generate harmful, biased, or inappropriate content. Please exercise caution and use it at your own risk and discretion.

I just tried [saishf's](https://huggingface.co/saishf) merged model, and it's great. So I decided to try a similar merge method with [Blackroot's](https://huggingface.co/Blackroot) LoRA that I had found earlier.

I don't know what to say about this model... this model is very strange...Maybe because Blackroot's amazing Loras used human data and not synthetic data, hence the model turned out to be very human-like...even the actions or narrations.

**WARNING:** This model is very unsafe in certain parts...especially in RP.

[IMATRIX GGUF IS HERE](https://huggingface.co/Lewdiculous/Halu-8B-Llama3-Blackroot-GGUF-IQ-Imatrix) made available by [Lewdiculous](https://huggingface.co/Lewdiculous)

[STATIC GGUF IS HERE](https://huggingface.co/mradermacher/Halu-8B-Llama3-Blackroot-GGUF/tree/main) made avaible by [mradermacher](https://huggingface.co/mradermacher)

<div align="left">
  <img src="https://huggingface.co/Hastagaras/Halu-8B-Llama3-Blackroot/resolve/main/Halu (1).png" width="500"/>
</div>

### Merge Method

This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Hastagaras/Halu-8B-Llama3-v0.3](https://huggingface.co/Hastagaras/Halu-8B-Llama3-v0.3) as a base.

### Models Merged

The following models were included in the merge:
* [Hastagaras/Halu-8B-Llama3-v0.3](https://huggingface.co/Hastagaras/Halu-8B-Llama3-v0.3) + [Blackroot/Llama-3-LongStory-LORA](https://huggingface.co/Blackroot/Llama-3-LongStory-LORA)
* [Hastagaras/Halu-8B-Llama3-v0.3](https://huggingface.co/Hastagaras/Halu-8B-Llama3-v0.3) + [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
models:
  - model: Hastagaras/Halu-8B-Llama3-v0.3+Blackroot/Llama-3-LongStory-LORA
  - model: Hastagaras/Halu-8B-Llama3-v0.3+Blackroot/Llama-3-8B-Abomination-LORA
merge_method: model_stock
base_model: Hastagaras/Halu-8B-Llama3-v0.3
dtype: bfloat16

```
# [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_Hastagaras__Halu-8B-Llama3-Blackroot)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.78|
|AI2 Reasoning Challenge (25-Shot)|63.82|
|HellaSwag (10-Shot)              |84.55|
|MMLU (5-Shot)                    |67.04|
|TruthfulQA (0-shot)              |53.28|
|Winogrande (5-shot)              |79.48|
|GSM8k (5-shot)                   |70.51|