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INFERENCE.md

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+# Inference notes
+
+Use a Transformers-compatible text-generation runtime. The model is a complete
+GPT-2 checkpoint and does not require `peft`, `bitsandbytes`, an adapter, or a
+separate base model.
+
+The expected prompt format is:
+
+```
+You are Vytre, an enterprise workforce operating intelligence model.
+Input: Create marketing department
+Output:
+```
+
+Use deterministic decoding (`do_sample=False`) and validate any response as
+JSON before consuming it programmatically.

README.md

@@ -1,3 +1,53 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+  - text-generation
+  - gpt2
+  - pytorch
+  - enterprise-automation
 ---
+
+# Vytre Core
+
+Vytre Core is a compact, domain-specific text-generation model trained on
+synthetic enterprise-workforce tasks: department creation, agent definition,
+workflow planning, task decomposition, governance checks, and tool routing.
+
+## Model files
+
+This repository is self-contained. It contains a standard Transformers GPT-2
+checkpoint and tokenizer, not a LoRA adapter. Do **not** combine it with the
+legacy `vytre-core-upload` LoRA template or an external Llama base model.
+
+## Load with Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "YOUR_USERNAME/vytre-core"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+prompt = (
+    "You are Vytre, an enterprise workforce operating intelligence model.\\n"
+    "Input: Create marketing department\\n"
+    "Output: "
+)
+inputs = tokenizer(prompt, return_tensors="pt")
+tokens = model.generate(
+    **inputs,
+    max_new_tokens=80,
+    do_sample=False,
+    pad_token_id=tokenizer.pad_token_id,
+    eos_token_id=tokenizer.eos_token_id,
+)
+print(tokenizer.decode(tokens[0], skip_special_tokens=True))
+```
+
+## Limitations
+
+This is a small specialised model, not a general-purpose chat model. Use the
+prompt format above and keep requests close to the listed operational domains.
+Validate generated JSON before taking actions from it.

config.json

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+{
+  "activation_function": "gelu_new",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 2,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 3,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 128,
+  "n_embd": 256,
+  "n_head": 4,
+  "n_inner": null,
+  "n_layer": 2,
+  "n_positions": 128,
+  "pad_token_id": 0,
+  "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,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.12.1",
+  "use_cache": false,
+  "vocab_size": 349
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 3,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 0,
+  "transformers_version": "5.12.1",
+  "use_cache": true
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8925df25c979e21c07cd9d2efc9666ea3b7f74bdb38ac3bc52240d6173749e30
+size 6811304

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>",
+  "unk_token": "<unk>"
+}

tokenizer.json

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+{
+  "version": "1.0",
+  "truncation": {
+    "direction": "Right",
+    "max_length": 128,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
+  "added_tokens": [
+    {
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+      "content": "<pad>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<unk>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
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+      "content": "<s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
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+      "content": "</s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "WhitespaceSplit"
+  },
+  "post_processor": {
+    "type": "TemplateProcessing",
+    "single": [
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "</s>",
+          "type_id": 0
+        }
+      }
+    ],
+    "pair": [
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "</s>",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "B",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "</s>",
+          "type_id": 0
+        }
+      }
+    ],
+    "special_tokens": {
+      "</s>": {
+        "id": "</s>",
+        "ids": [
+          3
+        ],
+        "tokens": [
+          "</s>"
+        ]
+      },
+      "<s>": {
+        "id": "<s>",
+        "ids": [
+          2
+        ],
+        "tokens": [
+          "<s>"
+        ]
+      }
+    }
+  },
+  "decoder": null,
+  "model": {
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+    },
+    "unk_token": "<unk>"
+  }
+}

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}