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Notice ADDED
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+ Meta Llama 3 is licensed under the Meta Llama 3 Community License, Copyright © Meta Platforms, Inc. All Rights Reserved.
README.md CHANGED
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  ---
 
 
 
 
 
 
 
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  license: llama3
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - meta-llama/Meta-Llama-3-8B-Instruct
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+ - failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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  license: llama3
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  ---
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+ # Llama-3-Instruct-abliteration-OVA-8B
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ Below, we explore negative weight merger and propose Orthogonalized Vector Adaptation, or OVA.
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+
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+ Task arithmetic was used to isolate the intervention vector that was applied to create [Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) by applying a negative weight of -1.0 to remove the baseline [Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) weights.
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+
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+ The resulting weights comprise an Orthogonalized Vector Adaptation that can subsequently be applied to the base Instruct model using task arithmetic merger, and can in principle be applied similarly via merger to other models derived from fine-tuning the Instruct model.
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+
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+ Built with Meta Llama 3.
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ dtype: bfloat16
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+ merge_method: task_arithmetic
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+ parameters:
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+ normalize: false
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ - layer_range: [0, 32]
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+ model: meta-llama/Meta-Llama-3-8B-Instruct
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+ parameters:
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+ weight: -1.0
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "failspy/Meta-Llama-3-8B-Instruct-abliterated-v3",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "eos_token_id": 128001,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 8192,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 128000,
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+ "eos_token_id": [128001, 128009],
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+ "do_sample": true,
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+ "temperature": 0.6,
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+ "max_length": 4096,
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+ "top_p": 0.9,
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+ "transformers_version": "4.40.0.dev0"
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+ }
mergekit_config.yml ADDED
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+ base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ dtype: bfloat16
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+ merge_method: task_arithmetic
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+ parameters:
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+ normalize: false
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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+ - layer_range: [0, 32]
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+ model: meta-llama/Meta-Llama-3-8B-Instruct
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+ parameters:
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+ weight: -1.0
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1996
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+ }
2051
+ },
2052
+ "bos_token": "<|begin_of_text|>",
2053
+ "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
2054
+ "clean_up_tokenization_spaces": true,
2055
+ "eos_token": "<|eot_id|>",
2056
+ "model_input_names": [
2057
+ "input_ids",
2058
+ "attention_mask"
2059
+ ],
2060
+ "model_max_length": 1000000000000000019884624838656,
2061
+ "tokenizer_class": "PreTrainedTokenizerFast"
2062
+ }