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Model: bachvnju/dialogptvn
Source: Original Platform

.gitattributes

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README.md

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+---
+datasets:
+- VTSNLP/vietnamese_curated_dataset
+- VTSNLP/instruct_general_dataset
+- IIGroup/X-Coder-SFT-376k
+language:
+- vi
+- en
+base_model: microsoft/DialoGPT-medium
+pipeline_tag: text-generation
+tags:
+- code
+- finance
+- conversational
+---
+
+# DialoGPT-VN (Vietnamese Conversational Model)
+
+mô hình dc fineturn để chat, tính toán và code siêu nhẹ phù hợp cho bot discord facebook vv
+
+## đặc diểm
+- hội thoại: hội thoại tự nhiên bằng tiếng anh và tiếng việt.
+- code: viết code cơ bản.
+- Đa ngành: hổ trợ giải bài tập phân tích chứng khoáng cơ bản vv..
+
+## cấu hình đề nghị
+- RAM: ít nhất 2GB.
+- CPU: 2 Core, xung 3.2GHz trở lên.
+
+## cách sủ dụng
+dùng như dialogpt bình thường qua transformers.
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("bachvnju/dialogptvn")
+model = AutoModelForCausalLM.from_pretrained("bachvnju/dialogptvn")
+
+for step in range(3):
+    new_user_input_ids = tokenizer.encode(input(">> User: ") + tokenizer.eos_token, return_tensors='pt')
+    bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
+    chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
+    
+    print("DialoGPT-VN: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
+
+## liên hệ
+nếu gặp lổi liên hệ:
+- Discord: bachvnju

chat_template.jinja

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+{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "loss_type": "for_causal_lm",
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 1024,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 24,
+  "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": {
+    "conversational": {
+      "max_length": 1000
+    }
+  },
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.57.1"
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "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": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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