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README.md

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+# axai-stack-0_3B (Transformers)
+
+## Purpose
+- Daily conversation model
+- Non-coding assistant behavior
+
+## Architecture
+- Custom architecture: AxaiForCausalLM
+
+- hidden_size: 768
+- intermediate_size: 3072
+- layers: 24
+- heads: 12
+- kv_heads: 6
+- max_seq_len: 128
+- rope_theta: 10000
+- qk_norm: True
+- local_mixer: True
+- neftune_alpha: 0.0

config.json

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+{
+  "architectures": [
+    "AxaiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "dtype": "float32",
+  "hidden_dropout": 0.0,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 128,
+  "model_type": "axai",
+  "neftune_alpha": 0.0,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 6,
+  "qk_norm": true,
+  "rezero_init": 1.0,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "is_local": true,
+  "model_max_length": 1000000,
+  "pad_token": "<pad>",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}