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config.json

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+{
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": null,
+  "partial_rotary_factor": 0.25,
+  "rope_parameters": {
+    "partial_rotary_factor": 0.25,
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
+  "use_cache": false,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "transformers_version": "5.2.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ea88c119e27d603f6497ae7434252a7f7520e7a7c47c357c814a42fc11d15516
+size 13712553448

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<|endoftext|>"
+}

training_config.yaml

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+base_model: EleutherAI/deep-ignorance-unfiltered
+method: grad_diff
+seed: 42
+dtype: auto
+max_length: 512
+eval_split: 0.1
+grad_clip: 1.0
+grad_accum_steps: 1
+deterministic_algorithms: false
+torch_version: !!python/object/new:torch.torch_version.TorchVersion
+- 2.10.0+cu128
+cuda_version: '12.8'
+cudnn_version: 91002
+cudnn_deterministic: false
+cudnn_benchmark: false
+forget_data: data/forget.txt
+retain_data: data/retain.txt
+max_lines: 1024
+epochs: 1
+lr: 1.0e-05
+batch_size: 4
+forget_weight: 1.0