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mlabonne/
Hermes-3-Llama-3.1-8B-lorablated-GGUF

Name: Hermes-3-Llama-3.1-8B-lorablated-GGUF
Availability: InStock

2212.04089

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mlabonne/Hermes-3-Llama-3.1-8B-lorablated

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🪽 Hermes-3-Llama-3.1-8B-lorablated

This is an uncensored version of NousResearch/Hermes-3-Llama-3.1-8B using lorablation.

You can see in the following example how Hermes 3 refuses to answer a legitimate question while the abliterated model complies:

The recipe is simple:

Extraction: We extract a LoRA adapter by comparing two models: a censored Llama 3.1 (meta-llama/Meta-Llama-3-8B-Instruct) and an abliterated Llama 3.1 (mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated).
Merge: We merge this new LoRA adapter using task arithmetic to the censored NousResearch/Hermes-3-Llama-3.1-8B to abliterate it.

See this article to learn more about abliteration.

🧩 Configuration

This model was merged using the task arithmetic merge method using NousResearch/Hermes-3-Llama-3.1-8B + Llama-3.1-8B-Instruct-abliterated-LORA as a base.

The following YAML configuration was used to produce this model:

yaml

base_model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: false
slices:
- sources:
  - layer_range: [0, 32]
    model: NousResearch/Hermes-3-Llama-3.1-8B+Llama-3.1-8B-Instruct-abliterated-LORA
    parameters:
      weight: 1.0

mlabonne/Hermes-3-Llama-3.1-8B-lorablated-GGUF

🪽 Hermes-3-Llama-3.1-8B-lorablated

🧩 Configuration

mlabonne/
Hermes-3-Llama-3.1-8B-lorablated-GGUF