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Model: NeuralNovel/Panda-7B-v0.1
Source: Original Platform

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Panda-7b-v0.1

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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+datasets:
+- NeuralNovel/Creative-Logic-v1
+- NeuralNovel/Neural-Story-v1
+library_name: transformers
+inference: false
+---
+![Neural-Story](https://i.ibb.co/TYvZhws/Panda7b.png)
+
+# NeuralNovel/Panda-7B-v0.1
+The **Panda-7B-v0.1** model by NeuralNovel.
+
+This fine-tune has been designed to provide detailed, creative and logical responses in the context of diverse narratives. Optimised for creative writing, roleplay and logical problem solving.
+
+Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2. Apache-2.0 license, suitable for commercial or non-commercial use.
+
+<a href='https://ko-fi.com/S6S2UH2TC' target='_blank'><img height='38' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi1.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
+<a href='https://discord.gg/KFS229xD' target='_blank'><img width='140' height='500' style='border:0px;height:36px;' src='https://i.ibb.co/tqwznYM/Discord-button.png' border='0' alt='Join Our Discord!' /></a>
+
+### Data-set
+The model on finetuned using the Panda-v1 dataset.
+
+### Summary
+
+Fine-tuned with the intention to generate instructive and narrative text, with a specific focus on combining the elements of versatility, character engagement and nuanced writing capability. 
+
+#### Out-of-Scope Use
+
+The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
+
+### Bias, Risks, and Limitations
+
+The model may exhibit biases or limitations inherent in the training data. It is essential to consider these factors when deploying the model to avoid unintended consequences.
+
+Users are advised to exercise caution, as there might be some inherent genre or writing bias.
+
+### Hardware and Training
+
+
+
+```
+
+  n_epochs = 3,
+  n_checkpoints = 3,
+  batch_size = 12,
+  learning_rate = 1e-5,
+
+
+
+```
+
+*Sincere appreciation to Techmind for their generous sponsorship.*

config.json

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+{
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+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}