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Model: GODsStrongestSoldier/distilgpt2-supernatural-occult-coder
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation
+- pytorch
+- causal-lm
+- occult
+- supernatural
+- magic
+- coding
+- nsfw
+base_model: distilgpt2
+datasets:
+- WithinUsAI/Supernatural_25k
+- WithinUsAI/high_priest_occult_25k
+- WithinUsAI/high_priest_supernatural_magic_FACT_BASED_1M
+- WithinUsAI/gods_universe_codex_distill_god_seed_25k
+- jjmachan/NSFW-reddit
+---
+
+# distilgpt2-supernatural-occult-coder
+
+## Model Details
+
+### Model Description
+This model is a full fine-tuned version of **DistilGPT2**, specialized in generating a unique blend of text covering the occult, supernatural magic, coding/programming, and mature internet discourse. It was trained comprehensively on a massive merged dataset of over 1.5 million rows to synthesize these distinct themes into a single generative framework.
+
+As a lightweight causal language model (82M parameters), it is optimized for extremely fast text generation across varied esoteric and technical domains.
+
+- **Developed by:** GODsStrongestSoldier
+- **Model type:** Causal Language Model (Transformer Decoder)
+- **Language:** English
+- **License:** Apache 2.0
+- **Finetuned from model:** `distilgpt2`
+
+---
+
+## Datasets Used for Fine-Tuning
+This model was trained on a concatenated corpus consisting of the following datasets:
+- [WithinUsAI/high_priest_occult_25k](https://huggingface.co/datasets/WithinUsAI/high_priest_occult_25k)
+- [WithinUsAI/gods_universe_codex_distill_god_seed_25k](https://huggingface.co/datasets/WithinUsAI/gods_universe_codex_distill_god_seed_25k)
+- [WithinUsAI/Supernatural_25k](https://huggingface.co/datasets/WithinUsAI/Supernatural_25k)
+- [WithinUsAI/high_priest_supernatural_magic_FACT_BASED_1M](https://huggingface.co/datasets/WithinUsAI/high_priest_supernatural_magic_FACT_BASED_1M)
+- [acheong08/nsfw_reddit](https://huggingface.co/datasets/acheong08/nsfw_reddit)
+
+---
+
+## Training Details
+
+### Training Procedure
+The model underwent **full fine-tuning** (no LoRA or adapters). All layers of the base model were globally updated. Datasets were dynamically loaded, stripped of extraneous columns, converted entirely to text, concatenated, and shuffled with a fixed seed to ensure an even distribution of themes throughout the training process. 
+
+Texts were grouped into continuous sequences of 512 tokens.
+
+#### Hardware
+- **Environment:** Kaggle
+- **Accelerators:** Dual NVIDIA T4 GPUs (15GB VRAM each)
+
+#### Hyperparameters
+- **Epochs:** 1 (Due to the massive 1.5M+ row dataset size)
+- **Per-Device Batch Size:** 8
+- **Gradient Accumulation Steps:** 8
+- **Effective Global Batch Size:** 128
+- **Learning Rate:** 5e-05
+- **Optimizer:** Fused AdamW (`adamw_torch_fused`)
+- **Mixed Precision:** fp16
+- **Gradient Checkpointing:** Enabled

config.json

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+{
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "pad_token_id": null,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "5.0.0"
+}

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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