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Model: mncai/llama2-13b-dpo-v4
Source: Original Platform

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README.md

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+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+- ko
+---
+# Model Card for llama2-13b-dpo-v4
+
+### Introduction of MindsAndCompany
+
+https://mnc.ai/
+
+We create various AI models and develop solutions that can be applied to businesses. And as for generative AI, we are developing products like Code Assistant, TOD Chatbot, LLMOps, and are in the process of developing Enterprise AGI (Artificial General Intelligence).
+
+### Model Summary
+based beomi/llama-2-koen-13b, instruction tuned and dpo.
+
+
+### How to Use
+Here give some examples of how to use our model.
+
+```python
+from transformers import AutoConfig, AutoModel, AutoTokenizer
+import transformers
+import torch
+hf_model = 'mncai/llama2-13b-dpo-v4' 
+message = "<|user|>\n두 개의 구가 있는데 각각 지름이 1, 2일때 구의 부피는 몇배 차이가 나지? 설명도 같이 해줘.\n<|assistant|>\n"
+
+sequences = pipeline(
+    message,
+    do_sample=True,
+    top_k=10,
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+    max_length=2048,
+)
+for seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+```
+
+### LICENSE
+Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under LLAMA 2 COMMUNITY LICENSE AGREEMENT
+
+### Contact
+If you have any questions, please raise an issue or contact us at dwmyoung@mnc.ai

config.json

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+{
+  "_name_or_path": "mncai/llama2-13b-dpo-v4",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 46336
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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tokenizer_config.json

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