Quantization made by Richard Erkhov.
Llama-3-Yggdrasil-2.0-8B - GGUF
- Model creator: https://huggingface.co/Locutusque/
- Original model: https://huggingface.co/Locutusque/Llama-3-Yggdrasil-2.0-8B/
Original model description:
library_name: transformers tags: - mergekit - merge base_model: - Locutusque/Llama-3-NeuralHercules-5.0-8B - NousResearch/Meta-Llama-3-8B - NousResearch/Hermes-2-Theta-Llama-3-8B - Locutusque/llama-3-neural-chat-v2.2-8b model-index: - name: Llama-3-Yggdrasil-2.0-8B 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: 53.71 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B 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: 26.92 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B 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: 6.87 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B 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: 1.68 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B 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: 8.07 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B 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: 24.07 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/Llama-3-Yggdrasil-2.0-8B name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using NousResearch/Meta-Llama-3-8B as a base.
Models Merged
The following models were included in the merge:
- Locutusque/Llama-3-NeuralHercules-5.0-8B
- NousResearch/Hermes-2-Theta-Llama-3-8B
- Locutusque/llama-3-neural-chat-v2.2-8b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: NousResearch/Meta-Llama-3-8B
# No parameters necessary for base model
- model: NousResearch/Hermes-2-Theta-Llama-3-8B
parameters:
density: 0.6
weight: 0.55
- model: Locutusque/llama-3-neural-chat-v2.2-8b
parameters:
density: 0.55
weight: 0.4
- model: Locutusque/Llama-3-NeuralHercules-5.0-8B
parameters:
density: 0.65
weight: 0.6
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
parameters:
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.22 |
| IFEval (0-Shot) | 53.71 |
| BBH (3-Shot) | 26.92 |
| MATH Lvl 5 (4-Shot) | 6.87 |
| GPQA (0-shot) | 1.68 |
| MuSR (0-shot) | 8.07 |
| MMLU-PRO (5-shot) | 24.07 |