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README.md

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+---
+license: apache-2.0
+datasets:
+- ajibawa-2023/General-Stories-Collection
+language:
+- en
+tags:
+- story
+- art
+- general audience
+- knowledge
+---
+**General-Stories-Mistral-7B**
+
+This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
+
+After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal. 
+Leveraging a vast synthetic dataset comprising approximately **1.3 million** stories tailored for diverse readership, this model possesses a deep understanding of narrative intricacies and themes.
+What sets my model apart is not just its ability to generate stories, but its capacity to evoke emotion, spark imagination, and forge connections with its audience.
+
+I am excited to introduce this powerful tool, ready to spark imagination and entertain readers worldwide with its versatile storytelling capabilities.
+
+As we embark on this exciting journey of AI storytelling, I invite you to explore the endless possibilities my model has to offer. Whether you're a writer seeking inspiration, a reader in search of a captivating tale, or a creative mind eager to push the boundaries of storytelling, my model is here to inspire, entertain, and enrich your literary experience.
+
+Kindly note this is qLoRA version.
+
+
+**GGUF & Exllama**
+
+GGUF: TBA
+
+Exllama: TBA
+
+
+
+**Training**
+
+Entire dataset was trained on 4 x A100 80GB. For 2 epoch, training took more than **15 Days**. Axolotl codebase was used for training purpose. Entire data is trained on Mistral-7B-v0.1.
+
+**Example Prompt:**
+
+This model uses **ChatML** prompt format.
+
+```
+<|im_start|>system
+You are a Helpful Assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+You can modify above Prompt as per your requirement. 
+
+
+I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development.
+
+Thank you for your love & support.
+
+**Example Output**
+
+Example 1
+
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/mVLGRiYKzFCC2wAJOejLP.jpeg)
+
+
+
+Example 2
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/FwCUW9FDDnmBpdnqraWNF.jpeg)
+
+
+
+Example 3
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/w0D_eX3xG6MnX5wWD8LT9.jpeg)
+
+
+Example 4
+
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/HaJ91YQ9d57SGv7BwTcv_.jpeg)

config.json

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+{
+    "_name_or_path": "/home/mla100wus3/Downloads/Mistral-7B/",
+    "architectures": [
+        "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": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.40.0.dev0",
+    "use_cache": false,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.18",
+        "bits": 2.25,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.0.dev0"
+}

output.safetensors

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+size 2329485208

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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