commit first version

Add new model, statistically generated

README.md

@@ -1,3 +1,60 @@
 ---
+language:
+- en
 license: mit
+library_name: transformers
+tags:
+- generated
+- numerical-generation
+- weight-space
+- text-generation
+inference: true
+model_creator: LCDev-LLMGen
+widget:
+- text: "The future of AI is"
+  example_title: "AI Future"
+- text: "Once upon a time"
+  example_title: "Story"
 ---
+
+# Numera: The Numerically Generated Model
+
+This model was automatically generated using **LCDev-Numera**, a proprietary tool for numerical model generation.
+
+## Model Details
+
+- **Model Name:** Numera (Gen-1)
+- **Generated By:** LCDev-Numera
+- **Base Architecture:** GPT-2
+- **Type:** Statistical Weight Generation
+- **Date Generated:** 2026-01-29
+
+## Intended Use
+
+This model is intended for research into:
+- Weight space analysis of Large Language Models.
+- Statistical properties of model weights.
+- Experimental initialization checkpoints.
+
+**Note:** This model is a statistical approximation and not a trained model. It may exhibit repetitive behaviors or lack specific factual knowledge.
+
+## How to Use
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "./Numera-v1"  # Or the huggingface repo id if uploaded
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "The future of AI is"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+outputs = model.generate(**inputs, max_length=50)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## License
+
+MIT

config.json

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+{
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "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,
+  "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
+    }
+  },
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 50257,
+  "weight_space_meta": {
+    "architecture": "gpt2",
+    "family": "Numera",
+    "generated_by": "LCDev-Numera",
+    "generation_method": "genf1",
+    "noise_scale": 0.0001,
+    "pca_components": 0.999,
+    "timestamp": "2026-01-29T12:15:11.135955"
+  }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3a0007e0d519cd4899c2ccb809fe9f50255f78d66635580c715fde7305e975c3
+size 327657928

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}