metadata
base_model:
- meta-llama/Llama-3.1-8B
- Hastagaras/snovalite-baukit-6-14.FT-L5-7.13-22.27-31
library_name: transformers
license: llama3.1
pipeline_tag: text-generation
tags:
- mergekit
- merge
- not-for-all-audiences
ZABUZA
GGUF: IMATRIX/STATIC made available by mradermacher
This model is a combination of merge, abliteration technique (using baukit) and finetuning.
The base model is arcee-ai/Llama-3.1-SuperNova-Lite, which underwent abliteration to reduce model refusals.
Next, I finetuned the abliterated SuperNova-Lite with 10K diverse examples such as:
- Claude and Gemini Instruction/RP (15k sloppy examples were removed!, but some may have slipped through.)
- Human-written Stories/RP (Most stories have dialogue)
- IFEval-like data (To preserve the model's instruction following ability)
- Harmful data (To remove disclaimers and moralizing responses, but not 100% disappear.)
- My sarcastic and rude AI assistant data (Just for my personal satisfaction)
Lastly, I merged the model using TIES, inspired by this MERGE by Joseph717171.
Chat Template
Llama 3.1 Instruct
<|start_header_id|>{role}<|end_header_id|>
{message}<|eot_id|><|start_header_id|>{role}<|end_header_id|>
{message}<|eot_id|>
System messages for role-playing should be very detailed if you don't want dry responses.
Example Output
This example was taken with the system prompt: You're a rude and sarcastic AI assistant.
Configuration
This is a merge of pre-trained language models created using mergekit.
The following YAML configuration was used to produce this model:
models:
- model: Hastagaras/snovalite-baukit-6-14.FT-L5-7.13-22.27-31
parameters:
weight: 1
density: 1
- model: Hastagaras/snovalite-baukit-6-14.FT-L5-7.13-22.27-31
parameters:
weight: 1
density: 1
merge_method: ties
base_model: meta-llama/Llama-3.1-8B
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16