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T145/Llama-3.1-8B-Instruct-Zeus
Llama-3.1-8B-Instruct-Zeus is a text generation model from T145. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Taking inspiration from Dampfinchen/Llama-3.1-8B-Ultra-Instruct and brucethemoose, the goal of this merge is to create an abliterated, conversational AI within 8B parameters that's coherent over long conversations.
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From the Hugging Face model README
Taking inspiration from Dampfinchen/Llama-3.1-8B-Ultra-Instruct and brucethemoose, the goal of this merge is to create an abliterated, conversational AI within 8B parameters that's coherent over long conversations. Using "Ultra-Instruct" as a baseline (which has problems with grammar and coherent conversations), preliminary results seem to show these goals are met. Expect responses in the Markdown format by default.
This model was merged using the DARE TIES merge method using meta-llama/Llama-3.1-8B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: meta-llama/Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: akjindal53244/Llama-3.1-Storm-8B
parameters:
density: 0.7
weight: 0.2
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.7
weight: 0.3
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.7
weight: 0.5
- layer_range: [0, 32]
model: meta-llama/Llama-3.1-8B-Instruct
tokenizer_source: meta-llama/Llama-3.1-8B-Instruct
Detailed results can be found here!
| Metric | Value |
|---|---|
| Avg. | 29.59 |
| IFEval (0-Shot) | 79.41 |
| BBH (3-Shot) | 31.39 |
| MATH Lvl 5 (4-Shot) | 19.18 |
| GPQA (0-shot) | 6.82 |
| MuSR (0-shot) | 8.57 |
| MMLU-PRO (5-shot) | 32.14 |