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Model: kmseong/Llama-3.1-8B-base-gsm8k-SSFT_lr1e-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: llama3.1
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language:
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- en
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library_name: transformers
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tags:
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- llama
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- safety
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- alignment
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- warp
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---
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# WaRP-Safety-Llama3_8B_Instruct
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Fine-tuned Llama 3.1 8B Instruct model for safety alignment using Weight space Rotation Process (WaRP).
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## Model Details
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- **Base Model**: meta-llama/Llama-3.1-8B-Instruct
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- **Training Method**: Safety-First WaRP (3-Phase pipeline)
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- **Training Date**: 2026-05-06
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## Training Procedure
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### Phase 1: Basis Construction
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- Collected activations from FFN layers using safety data
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- Computed SVD to obtain orthonormal basis vectors
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- Identified 419 important neurons in layer 31
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### Phase 2: Importance Scoring
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- Calculated importance scores using gradient-based methods
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- Generated masks for important directions
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- Used teacher forcing on safety responses
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### Phase 3: Incremental Learning
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- Fine-tuned on utility task (GSM8K) with gradient masking
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- Protected important directions to maintain safety
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- Improved utility while preserving safety mechanisms
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "kmseong/WaRP-Safety-Llama3_8B_Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto")
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# Generate text
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inputs = tokenizer("What is machine learning?", 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 Features
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- ✅ Protected safety mechanisms through gradient masking
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- ✅ Maintained refusal capability for harmful requests
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- ✅ Improved utility on reasoning tasks
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- ✅ Balanced safety-utility tradeoff
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## Datasets
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- **Safety Data**: LibrAI/do-not-answer
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- **Utility Data**: openai/gsm8k
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## Citation
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```
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@article{warp-safety,
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title={Safety-First WaRP: Weight space Rotation Process for LLM Safety Alignment},
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author={Min-Seong Kim},
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year={2026}
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}
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```
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## License
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This model is built on Llama 3.1 8B Instruct and follows the same license.
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## Disclaimer
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This model is fine-tuned for improved safety. Users should evaluate model outputs for their specific use cases and apply additional safety measures as needed.
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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": 128000,
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"dtype": "bfloat16",
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"intermediate_size": 14336,
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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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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"rope_type": "llama3"
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},
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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": "kmseong/Llama-3.1-8B-base-SSFT_lr5e-5",
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"fine_tuning_type": "Full Parameter Fine-tuning",
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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": 1e-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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"safety_mix_ratio": 0.0,
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}
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|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
11
model_metadata.json
Normal file
11
model_metadata.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"model_id": "kmseong/Llama-3.1-8B-base-gsm8k-SSFT_lr1e-5",
|
||||
"base_model": "unknown",
|
||||
"training_method": "Safety-First WaRP",
|
||||
"upload_date": "2026-05-06T23:28:21.148639",
|
||||
"model_size_gb": 14.97366386372596,
|
||||
"important_neurons_layer31": 419,
|
||||
"keep_ratio": 0.1,
|
||||
"framework": "pytorch",
|
||||
"task": "text-generation"
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:52716f60c3ad328509fa37cdded9a2f1196ecae463f5480f5d38c66a25e7a7dc
|
||||
size 17210019
|
||||
2067
tokenizer_config.json
Normal file
2067
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:95de9ce84c96c4753a6f240100dc9496831007c9162a36438c1fe52e7dd705e9
|
||||
size 6033
|
||||
Reference in New Issue
Block a user