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Aura-Llama-Abliterated/README.md
ModelHub XC 31a5954901 初始化项目，由ModelHub XC社区提供模型 
Model: SteelStorage/Aura-Llama-Abliterated
Source: Original Platform
2026-06-01 04:09:17 +08:00

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license, tags, base_model, model-index
license tags base_model model-index
apache-2.0
merge
mergekit
failspy/Llama-3-8B-Instruct-abliterated
name results
Aura-Llama-Abliterated
task dataset metrics source
type name
text-generation Text Generation
name type config split args
AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test
num_few_shot
25
type value name
acc_norm 49.23 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
HellaSwag (10-Shot) hellaswag validation
num_few_shot
10
type value name
acc_norm 72.27 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
MMLU (5-Shot) cais/mmlu all test
num_few_shot
5
type value name
acc 55.71 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
TruthfulQA (0-shot) truthful_qa multiple_choice validation
num_few_shot
0
type value
mc2 46.63
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
Winogrande (5-shot) winogrande winogrande_xl validation
num_few_shot
5
type value name
acc 69.3 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
GSM8k (5-shot) gsm8k main test
num_few_shot
5
type value name
acc 27.6 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/Aura-Llama-Abliterated Open LLM Leaderboard
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Aura-llama-3-Abliterated

Aura-llama-Abliterated Image

Now that the cute anime girl has your attention.

UPDATE: Model is now using the abliterated version of meta llama 3 8b

Aura-llama is using the methodology presented by SOLAR for scaling LLMs called depth up-scaling (DUS), which encompasses architectural modifications with continued pretraining. Using the solar paper as a base, I integrated Llama-3 weights into the upscaled layers, and In the future plan to continue training the model.

Aura-llama is a merge of the following models to create a base model to work from:

Abliterated Merged Evals (Has Not Been Finetuned):

Aura-llama-Abliterated

  • Avg: ?
  • ARC: ?
  • HellaSwag: ?
  • MMLU: ?
  • T-QA: ?
  • Winogrande: ?
  • GSM8K: ?

Non Abliterated Merged Evals (Has Not Been Finetuned):

Aura-llama-Original

  • Avg: 63.13
  • ARC: 58.02
  • HellaSwag: 77.82
  • MMLU: 65.61
  • T-QA: 51.94
  • Winogrande: 73.40
  • GSM8K: 52.01

🧩 Configuration


dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 12]
    model: failspy/Llama-3-8B-Instruct-abliterated
- sources:
  - layer_range: [8, 20]
    model: failspy/Llama-3-8B-Instruct-abliterated
- sources:
  - layer_range: [16, 28]
    model: failspy/Llama-3-8B-Instruct-abliterated
- sources:
  - layer_range: [24, 32]
    model: failspy/Llama-3-8B-Instruct-abliterated
</html>

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 53.46
AI2 Reasoning Challenge (25-Shot) 49.23
HellaSwag (10-Shot) 72.27
MMLU (5-Shot) 55.71
TruthfulQA (0-shot) 46.63
Winogrande (5-shot) 69.30
GSM8k (5-shot) 27.60