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LICENSE

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+Venus-X1 - A Fine-Tuned Falcon-1B Derivative
+=============================================
+
+Base Model:
+-----------
+This model, Venus-X1, is a derivative work of the Falcon-RW-1B model released by TII (Technology Innovation Institute), UAE.
+
+Original model repository:
+https://huggingface.co/tiiuae/falcon-rw-1b
+
+Original model weights were downloaded using:
+wget https://huggingface.co/tiiuae/falcon-rw-1b/resolve/main/pytorch_model.bin
+
+License for Base Model:
+-----------------------
+The original Falcon-RW-1B model is licensed under the Apache License 2.0.
+You can find the original license here:
+https://huggingface.co/tiiuae/falcon-rw-1b/blob/main/LICENSE
+
+Modifications:
+--------------
+This version (Venus-X1) has been fine-tuned on custom datasets by Shi Thumb (https://huggingface.co/shithumb).
+The fine-tuning includes additional training on domain-specific corpora related to self-development and creative ideation.
+
+License for Venus-X1:
+---------------------
+Venus-X1 is released under the same license as the base model: Apache License 2.0.
+You are free to use, modify, and redistribute this model under the terms of that license.
+
+Attribution:
+------------
+Please include proper attribution to both TII (original Falcon creators) and Shi Thumb when using this model in academic or commercial applications.
+
+Contact:
+--------
+For questions or collaborations:
+https://huggingface.co/shithumb
+
+Last Updated: August 2025
+

Readme.md

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+# Venus-X1 🌌
+A fine-tuned AI model based on [Falcon-RW-1B](https://huggingface.co/tiiuae/falcon-rw-1b), adapted for self-development and creative ideation tasks.
+
+## 🔍 Overview
+
+**Venus-X1** is a lightweight transformer model derived from **Falcon-RW-1B** developed by the Technology Innovation Institute (TII). This model has been fine-tuned using curated datasets on topics such as:
+
+- Self-development and introspection
+- Cognitive enhancement
+- Creativity and mindset exploration
+- Prompting frameworks for knowledge work
+
+The goal of Venus-X1 is to provide a compact yet insightful model for researchers, creators, and developers working on personal growth and AI-generated self-reflection tools.
+
+---
+
+## 🧠 Base Model
+
+- **Original Name:** Falcon-RW-1B
+- **Creator:** [tiiuae](https://huggingface.co/tiiuae)
+- **License:** Apache 2.0
+- **URL:** [https://huggingface.co/tiiuae/falcon-rw-1b](https://huggingface.co/tiiuae/falcon-rw-1b)
+
+Model weights downloaded using:
+
+```bash
+wget https://huggingface.co/tiiuae/falcon-rw-1b/resolve/main/pytorch_model.bin
+🛠️ Fine-Tuning Details
+Fine-tuned by: Shi Thumb (https://huggingface.co/shithumb)
+
+Dataset used: AI_Self_Development_Guide
+
+Token length: 2048
+
+Epochs: 3–5
+
+Tokenizer: Inherits from Falcon-RW-1B tokenizer
+
+The model was trained using Hugging Face Transformers with mixed-precision (fp16) on a single GPU.
+
+💾 How to Use
+python
+Salin
+Edit
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("shithumb/venus-x1")
+tokenizer = AutoTokenizer.from_pretrained("shithumb/venus-x1")
+
+prompt = "How can I improve my daily focus and motivation?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=200)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+📚 Dataset
+Dataset used: venus-1.csv
+
+This dataset contains guided self-development prompts and insights in structured format.
+
+📄 License
+This model is released under the Apache 2.0 license, same as its base model.
+
+See LICENSE.txt for details.
+
+🤝 Acknowledgements
+Thanks to tiiuae for open-sourcing Falcon-RW-1B.
+
+Fine-tuned and republished by Shi Thumb
+
+🧭 Contact
+For questions, discussions, or collaborations, reach out via:
+
+Hugging Face: https://huggingface.co/shithumb
+
+Email: (add if applicable)
+
+Last updated: August 2025

config.json

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+{
+  "alibi": true,
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "VenusForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "configuration_venus.VenusConfig",
+    "AutoModel": "modeling_venus.VenusModel",
+    "AutoModelForSequenceClassification": "modeling_venus.VenusForSequenceClassification",
+    "AutoModelForTokenClassification": "modeling_venus.VenusForTokenClassification",
+    "AutoModelForQuestionAnswering": "modeling_venus.VenusForQuestionAnswering",
+    "AutoModelForCausalLM": "modeling_venus.VenusForCausalLM"
+  },
+  "bias": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_dropout": 0.0,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "venus",
+  "multi_query": false,
+  "new_decoder_architecture": false,
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "parallel_attn": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.27.4",
+  "use_cache": true,
+  "vocab_size": 50304,
+  "model_origin": "Adapted from Falcon-7B architecture (Technology by TII, Apache 2.0 License)",
+  "model_name": "Venus-X1"
+}
+

venus-x1.bin

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