P0x0
/

Epos-8b

@@ -4,197 +4,69 @@ base_model:
 - meta-llama/Llama-3.1-8B
 ---
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 - meta-llama/Llama-3.1-8B
 ---
+# Epos-8B
+Epos-8B is a fine-tuned version of the base model **Llama-3.1-8B** from Meta, optimized for storytelling, dialogue generation, and creative writing. The model specializes in generating rich narratives, immersive prose, and dynamic character interactions, making it ideal for creative tasks.
+---
 ## Model Details
 ### Model Description
+Epos-8B is an 8 billion parameter language model fine-tuned for storytelling and narrative tasks. Inspired by the grandeur of epic tales, it is designed to produce high-quality, engaging content that evokes the depth and imagination of ancient myths and modern storytelling traditions.
+- **Developed by:** P0x0
+- **Funded by:** [More Information Needed]
+- **Shared by:** P0x0
+- **Model type:** Transformer-based Language Model
+- **Language(s) (NLP):** Primarily English
+- **License:** Apache 2.0
+- **Finetuned from model:** [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
+### Model Sources
+- **Repository:** [Epos-8B on Hugging Face](https://huggingface.co/P0x0/Epos-8B)
+- **GGUF Variant Repository:** [Epos-8B-GGUF](https://huggingface.co/P0x0/Epos-8B-GGUF)
+---
 ## Uses
 ### Direct Use
+Epos-8B is ideal for:
+- **Storytelling:** Generate detailed, immersive, and engaging narratives.
+- **Dialogue Creation:** Create realistic and dynamic character interactions for stories or games.
+- **Descriptive Writing:** Generate vivid descriptions for settings, objects, or events.
+- **Creative Content Generation:** Assist writers and creators in brainstorming and drafting ideas.
 ### Out-of-Scope Use
+Epos-8B is not recommended for real-time decision-making, safety-critical applications, or generating harmful, biased, or inappropriate content. It is designed specifically for creative writing and narrative tasks.
+---
 ## How to Get Started with the Model
+To run the quantized version of the model, you can use [KoboldCPP](https://github.com/LostRuins/koboldcpp), which allows you to run quantized GGUF models locally.
+### Steps:
+1. Download [KoboldCPP](https://github.com/LostRuins/koboldcpp).
+2. Follow the setup instructions provided in the repository.
+3. Download the GGUF variant of Epos-8B from [Epos-8B-GGUF](https://huggingface.co/P0x0/Epos-8B-GGUF).
+4. Load the model in KoboldCPP and start generating!
+Alternatively, integrate the model directly into your code with the following snippet:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+tokenizer = AutoTokenizer.from_pretrained("P0x0/Epos-8B")
+model = AutoModelForCausalLM.from_pretrained("P0x0/Epos-8B")
+input_text = "Once upon a time in a distant land..."
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))