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---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- openlynn/Llama-3-Soliloquy-8B-v2
- grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
- grimjim/llama-3-aaditya-OpenBioLLM-8B
- grimjim/llama-3-Nephilim-v1-8B
pipeline_tag: text-generation
model-index:
- name: llama-3-Nephilim-v2-8B
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: 39.22
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
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: 29.9
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
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: 9.52
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
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: 6.6
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
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: 7.89
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
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: 29.35
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=grimjim/llama-3-Nephilim-v2-8B
name: Open LLM Leaderboard
---
# llama-3-Nephilim-v2-8B
This repo contains is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
GGUF quants are available [here](https://huggingface.co/grimjim/llama-3-Nephilim-v2-8B-GGUF).
Task arithmetic was used to add the contributions of three models to v1 as a base model.
The resulting model should be intelligent and attentive to context, and significantly more varied in its outputs compared to v1. The majority contribution was from a merge of two models showcasing recent advances in preference optimization ([princeton-nlp/Llama-3-Instruct-8B-SimPO](https://huggingface.co/princeton-nlp/Llama-3-Instruct-8B-SimPO) and
[UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3)), along with minority contributions from a highly-trained roleplay model and a fine-tuned biomedical model.
Care should be taken when using this model, as it is possible that harmful outputs may be generated. Given that this model is derivative, responsible use is further mandated by the [WhiteRabbitNeo Usage Restrictions Extension](https://huggingface.co/WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0) to the Llama-3 License. This model is further subject to CC-BY-NC-4.0 by default, meaning that commercial use is restricted, barring an alternative licensing agreement.
Tested with 8k context length and Instruct prompting.
Example context templates variants tested with Llama 3 can be [downloaded here](https://huggingface.co/debased-ai/SillyTavern-settings/tree/main/advanced_formatting/context_template); their corresponding Instruct prompts can be [downloaded here](https://huggingface.co/debased-ai/SillyTavern-settings/tree/main/advanced_formatting/instruct_mode).
During testing, sampler settings were temp=1, minP=0.01, and smooth sampling (factor=0.23, curve=4.32), all of which can be [downloaded as a single JSON file](https://huggingface.co/debased-ai/SillyTavern-settings/blob/main/presets/Llama%203%20Smoothie%20Presets%208k%20context.json).
Built with Meta Llama 3.
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [grimjim/llama-3-Nephilim-v1-8B](https://huggingface.co/grimjim/llama-3-Nephilim-v1-8B) as a base.
### Models Merged
The following models were included in the merge:
* [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
* [grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge](https://huggingface.co/grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge)
* [grimjim/llama-3-aaditya-OpenBioLLM-8B](https://huggingface.co/grimjim/llama-3-aaditya-OpenBioLLM-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: grimjim/llama-3-Nephilim-v1-8B
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: false
slices:
- sources:
- layer_range: [0, 32]
model: grimjim/llama-3-Nephilim-v1-8B
- layer_range: [0, 32]
model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
parameters:
weight: 0.9
- layer_range: [0, 32]
model: openlynn/Llama-3-Soliloquy-8B-v2
parameters:
weight: 0.1
- layer_range: [0, 32]
model: grimjim/llama-3-aaditya-OpenBioLLM-8B
parameters:
weight: 0.1
```
# [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_grimjim__llama-3-Nephilim-v2-8B)
| Metric |Value|
|-------------------|----:|
|Avg. |20.41|
|IFEval (0-Shot) |39.22|
|BBH (3-Shot) |29.90|
|MATH Lvl 5 (4-Shot)| 9.52|
|GPQA (0-shot) | 6.60|
|MuSR (0-shot) | 7.89|
|MMLU-PRO (5-shot) |29.35|
|