sft model upload0

README.md

@@ -1,3 +1,13 @@
 ---
-license: mit
+license: apache-2.0
+language:
+  - en
 ---
+
+# kimdeokgi/sft_model_test0
+
+
+# **Introduction**
+This model is test version, Supervised fine-tuning model.
+
+Supervised fine-tuning refers to a machine learning technique where a pre-trained model is further trained on a specific task or dataset with labeled examples (supervised learning). The process involves taking a model that has been pre-trained on a large general dataset and then adapting it to a more focused task by continuing the training using task-specific data.

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "bias": false,
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+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 32768,
+  "model_type": "llama",
+  "num_attention_heads": 48,
+  "num_hidden_layers": 52,
+  "num_key_value_heads": 8,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 92544
+}

generation_config.json

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+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.38.1"
+}

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