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---
license: llama3
library_name: transformers
tags:
- mergekit
- merge
base_model:
- flammenai/Mahou-1.2-llama3-8B
- lemon07r/Llama-3-RedMagic2-8B
- lemon07r/Lllama-3-RedElixir-8B
- NousResearch/Meta-Llama-3-8B
- nbeerbower/llama-3-spicy-abliterated-stella-8B
model-index:
- name: Llama-3-RedMagic4-8B
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: 48.64
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
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: 19.48
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
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: 8.31
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
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: 5.37
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
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: 4.38
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
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: 29.73
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Llama-3-RedMagic4-8B
name: Open LLM Leaderboard
---
# Llama-3-RedMagic4-8B
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 [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.
### Models Merged
The following models were included in the merge:
* [flammenai/Mahou-1.2-llama3-8B](https://huggingface.co/flammenai/Mahou-1.2-llama3-8B)
* [lemon07r/Llama-3-RedMagic2-8B](https://huggingface.co/lemon07r/Llama-3-RedMagic2-8B)
* [lemon07r/Lllama-3-RedElixir-8B](https://huggingface.co/lemon07r/Lllama-3-RedElixir-8B)
* [nbeerbower/llama-3-spicy-abliterated-stella-8B](https://huggingface.co/nbeerbower/llama-3-spicy-abliterated-stella-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
- layer_range: [0, 32]
model: lemon07r/Llama-3-RedMagic2-8B
- layer_range: [0, 32]
model: lemon07r/Lllama-3-RedElixir-8B
- layer_range: [0, 32]
model: nbeerbower/llama-3-spicy-abliterated-stella-8B
- layer_range: [0, 32]
model: flammenai/Mahou-1.2-llama3-8B
- layer_range: [0, 32]
model: NousResearch/Meta-Llama-3-8B
```
# [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_lemon07r__Llama-3-RedMagic4-8B)
| Metric |Value|
|-------------------|----:|
|Avg. |19.32|
|IFEval (0-Shot) |48.64|
|BBH (3-Shot) |19.48|
|MATH Lvl 5 (4-Shot)| 8.31|
|GPQA (0-shot) | 5.37|
|MuSR (0-shot) | 4.38|
|MMLU-PRO (5-shot) |29.73|
|