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Model: waddie/mini-1.0
Source: Original Platform

README.md

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+---
+library_name: transformers
+tags:
+- human-style
+- conversational
+- qwen
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+model_creator: waddie
+model_type: causal-lm
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
+# CloudWaddie Mini 1.0
+
+This model is a fine-tuned version of `Qwen2.5-0.5B-Instruct` designed to mimic the specific conversational rhythm, slang, and technical jargon of a human,
+
+## Model Details
+
+### Model Description
+Unlike standard AI assistants that are helpful and formal, this model adopts a "random guy" persona. It was trained on curated conversation pairs from an AI Leaks community to capture a casual, lowercase-heavy, and slightly secretive "insider" vibe.
+
+- **Developed by:** Edward Fazackerley
+- **Language(s):** English (Informal/Slang)
+- **Finetuned from model:** Qwen/Qwen2.5-0.5B-Instruct
+- **Persona:** Casual, technical, secretive, lowercase-only.
+
+## Uses
+
+### Direct Use
+This model is intended for Discord bots or roleplay scenarios where a "human-like" interaction is preferred over a robotic assistant.
+
+### Prompting Strategy
+To get the best "human" feel, use **all lowercase** and skip formal punctuation. 
+
+**Recommended Format (ChatML):**
+```text
+<|im_start|>user
+yo did you see the new internal model?<|im_end|>
+<|im_start|>assistant
+```
+
+## How to Get Started with the Model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = "waddie/mini-1.0"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
+
+prompt = "<|im_start|>user\nwhat's up with the new gemini tt?<|im_end|>\n<|im_start|>assistant\n"
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+
+outputs = model.generate(
+    **inputs, 
+    max_new_tokens=50, 
+    temperature=0.7, 
+    repetition_penalty=1.3,
+    eos_token_id=tokenizer.convert_tokens_to_ids("<|im_end|>")
+)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```