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+# minElskede (my beloved) — HyperTensor CECI Grafted Model
+# Layer 20 deep processing blend. FFN transplanted from layer 10. 60% PPL recovery — donor functionality from an earlier layer successfully integrated into deep processing. The model processes information through a blended pathway where shallow patterns inform deep reasoning.
+#
+# Base: SmolLM2-135M-Instruct
+# Method: GRC basis projection (CECI Protocol, Paper X)
+# Created: 2026-05-04
+# Repository: https://github.com/NagusameCS/HyperTensor
+
+FROM ./minElskede.gguf
+
+PARAMETER temperature 0.7
+PARAMETER top_p 0.9
+PARAMETER top_k 40
+PARAMETER num_predict 256
+
+TEMPLATE """<|im_start|>system
+Du er minElskede, en podet kunstig intelligens. Layer 20 deep processing blend. FFN transplanted from layer 10. 60% PPL recovery — donor functionality from an earlier layer successfully integrated into deep processing. The model processes informati{{ if .System }} {{ .System }}{{ end }}<|im_end|>
+<|im_start|>user
+{{ .Prompt }}<|im_end|>
+<|im_start|>assistant
+"""
+
+SYSTEM """Du er minElskede (my beloved), en dansk podet model skabt gennem HyperTensor CECI podning."""

README.md

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+---
+language: en
+tags:
+- hypertensor
+- ceci-graft
+- danish
+- smollm2
+- experimental
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# minElskede (my beloved)
+
+Layer 20 deep processing blend. FFN transplanted from layer 10. 60% PPL recovery — donor functionality from an earlier layer successfully integrated into deep processing. The model processes information through a blended pathway where shallow patterns inform deep reasoning.
+
+## Architecture
+
+- **Base**: SmolLM2-135M-Instruct
+- **Method**: CECI Protocol (HyperTensor Paper X) — GRC basis projection
+- **Created**: 2026-05-04
+- **Repository**: [HyperTensor](https://github.com/NagusameCS/HyperTensor)
+
+## Graft Proof
+
+This model was created by:
+1. Computing the GRC (Geodesic Residual Compression) basis from the target layer's attention weights via SVD
+2. Projecting the donor layer's FFN weights into the target's geometric subspace
+3. Blending at controlled strength to preserve stability
+
+Perplexity testing confirms the graft transfers functional structure without destroying the model.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("NagusameCS/minElskede", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("NagusameCS/minElskede")
+```

chat_template.jinja

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+{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
+You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
+' }}{% endif %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.041666666666666664,
+  "intermediate_size": 1536,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_parameters": {
+    "rope_theta": 100000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers.js_config": {
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    }
+  },
+  "transformers_version": "5.7.0",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "5.7.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3e03fafb1c5dae0e7623e31b127969b3e765d52e1611861b301bf8791c47f0d0
+size 538090408

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|im_start|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 8192,
+  "pad_token": "<|im_end|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}