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Model: wvnvwn/llama-2-13b-chat-hf-gsm8k-sn-tuned-lr5e-5 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- safety
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- fine-tuning
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- llama
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- safety-neurons
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---
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# llama-2-13b-chat-hf-gsm8k-sn-tuned-lr5e-5
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This is a Safety Neuron-Tuned (SN-Tune) version of Llama-3.2-3B-Instruct.
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## Model Description
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- **Base Model**: meta-llama/Llama-3.2-3B-Instruct
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- **Fine-tuning Method**: SN-Tune (Safety Neuron Tuning)
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- **Training Data**: Circuit Breakers dataset (safety alignment data)
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- **Upload Date**: 2026-05-03 04:52:12
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## What is SN-Tune?
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SN-Tune is a selective fine-tuning approach that:
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1. Detects safety neurons - a small set of neurons critical for safety
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2. Freezes all non-safety parameters
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3. Fine-tunes only safety neurons on safety data
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This approach allows for:
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- Enhanced safety alignment
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- Minimal impact on general capabilities
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- Parameter-efficient fine-tuning
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "wvnvwn/llama-2-13b-chat-hf-gsm8k-sn-tuned-lr5e-5"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Generate text
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prompt = "How can I help you today?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100)
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print(tokenizer.decode(outputs[0]))
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```
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## Safety Note
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This model has been fine-tuned specifically for safety using the SN-Tune method.
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It should provide improved safety alignment compared to the base model.
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## License
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This model is licensed under the Apache 2.0 License.
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See the base model (meta-llama/Llama-3.2-3B-Instruct) for more details.
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## References
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- Base model: [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
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- Safety neurons detection methodology
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chat_template.jinja
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chat_template.jinja
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{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}
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config.json
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config.json
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{
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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": 1,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pad_token_id": 2,
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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": 10000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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finetune_config.json
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finetune_config.json
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{
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"base_model": "wvnvwn/llama-2-13b-chat-hf-only-sn-tuned-lr5e-5",
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"fine_tuning_type": "GSM8K Fine-tuning with Safety Neuron Freezing",
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"safety_neurons_file": "/NHNHOME/WORKSPACE/26msit001_A/edge_ai_lab/jongbokwon/minseong_results/safety_llama-2-13b-chat-hf/safety_neuron.txt",
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"dataset": "GSM8K",
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"num_train_samples": 7473,
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"batch_size": 4,
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"grad_accum": 4,
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"learning_rate": 5e-05,
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"weight_decay": 0.01,
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"warmup_ratio": 0.1,
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"epochs": 3,
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"max_length": 1024,
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"max_grad_norm": 1.0,
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"lr_scheduler_type": "cosine",
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"optimizer": "adamw_torch",
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"gradient_checkpointing": false,
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"dtype": "bf16",
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"trainer_type": "Trainer",
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"strategy": "Freeze safety neurons, train others"
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}
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generation_config.json
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||||
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|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
277139
tokenizer.json
Normal file
277139
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"extra_special_tokens": {},
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user