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Model: jinmrong/Llama-3.1-8B-Instruct-abliterated_via_adapter-GGUF
Source: Original Platform

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README.md

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+---
+base_model: grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter
+library_name: transformers
+license: llama3.1
+pipeline_tag: text-generation
+quanted_by: grimjim
+---
+# Llama-3.1-8B-Instruct-abliterated_via_adapter-GGUF
+
+This repo contains select GGUF quants of a model that is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+A LoRA was applied to "abliterate" refusals in [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct). The result appears to work despite the LoRA having been derived from Llama 3 instead of Llama 3.1, which implies that there is significant feature commonality between the 3 and 3.1 models.
+
+The LoRA was extracted from [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) and uses [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
+
+Built with Llama.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B) as a base.
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
+dtype: bfloat16
+merge_method: task_arithmetic
+parameters:
+  normalize: false
+slices:
+- sources:
+  - layer_range: [0, 32]
+    model: meta-llama/Meta-Llama-3.1-8B-Instruct+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
+    parameters:
+      weight: 1.0
+
+```