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Model: BELLE-2/BELLE-Llama2-13B-chat-0.4M
Source: Original Platform

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README.md

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+---
+license: llama2
+tags:
+- text2text-generation
+pipeline_tag: text2text-generation
+language:
+- zh
+- en
+---
+
+# Model Card for Model ID
+
+## Welcome
+If you find this model helpful, please *like* this model and star us on https://github.com/LianjiaTech/BELLE !
+
+## Model description
+This model is obtained by fine-tuning the complete parameters using 0.4M Chinese instruction data on the original Llama2-13B-chat. 
+We firmly believe that the original Llama2-chat exhibits commendable performance post Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
+Our pursuit continues to be the further enhancement of this model using Chinese instructional data for fine-tuning, with an aspiration to facilitate stable and high-quality 
+Chinese language outputs.
+## Use model
+Please note that the input should be formatted as follows in both **training** and **inference**.
+``` python
+Human: \n{input}\n\nAssistant:\n
+``` 
+
+
+After you decrypt the files, BELLE-Llama2-13B-chat-0.4M can be easily loaded with AutoModelForCausalLM.
+``` python
+from transformers import AutoModelForCausalLM, LlamaTokenizer
+import torch
+
+ckpt = '/path/to_finetuned_model/'
+device = torch.device('cuda')
+model = AutoModelForCausalLM.from_pretrained(ckpt).half().to(device)
+tokenizer = LlamaTokenizer.from_pretrained(ckpt)
+prompt = "Human: \n写一首中文歌曲，赞美大自然 \n\nAssistant: \n"
+input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)
+generate_ids = model.generate(input_ids, max_new_tokens=1024, do_sample=True, top_k=30, top_p=0.85, temperature=0.5, repetition_penalty=1.2, eos_token_id=2, bos_token_id=1, pad_token_id=0)
+output = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+response = output[len(prompt):]
+print(response)
+
+```
+
+
+## Limitations
+There still exists a few issues in the model trained on current base model and data:
+
+1. The model might generate factual errors when asked to follow instructions related to facts.
+
+2. Occasionally generates harmful responses since the model still struggles to identify potential harmful instructions.
+
+3. Needs improvements on reasoning and coding.
+
+Since the model still has its limitations, we require developers only use the open-sourced code, data, model and any other artifacts generated via this project for research purposes. Commercial use and other potential harmful use cases are not allowed.
+
+## Citation
+
+Please cite our paper and github when using our code, data or model.
+
+```
+@misc{BELLE,
+  author = {BELLEGroup},
+  title = {BELLE: Be Everyone's Large Language model Engine},
+  year = {2023},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/LianjiaTech/BELLE}},
+}
+```

added_tokens.json

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+{
+  "<pad>": 32000
+}

config.json

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+{
+  "_name_or_path": null,
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "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": 2,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "temperature": 0.9,
+  "top_p": 0.6,
+  "transformers_version": "4.31.0.dev0"
+}

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special_tokens_map.json

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+}

tokenizer_config.json

@@ -0,0 +1,34 @@
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+    "single_word": false
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