| --- |
| license: apache-2.0 |
| datasets: |
| - stepfun-ai/Step-3.5-Flash-SFT |
| language: |
| - aa |
| metrics: |
| - character |
| base_model: |
| - HahahucCS/Qwen3.5-35B-A3B-Uncensored-HahahucCS-Aggressive |
| pipeline_tag: text-generation |
| tags: |
| - agent |
| - ai |
| - chatbot |
| - uncensored |
| --- |
| |
| # 🔥 BXFVC AI Model |
|
|
| ## 🚀 Overview |
| BXFVC is a powerful AI model built on top of Qwen 3.5 35B, designed for fast, creative, and flexible text generation. |
|
|
| It works best for: |
| - 💬 Chat conversations |
| - 🧠 Creative writing |
| - 🎮 Roleplay |
| - ⚡ Fast responses |
|
|
| --- |
|
|
| ## 🧠 Features |
| - Uncensored-style responses |
| - Strong personality output |
| - Creative storytelling |
| - Good dialogue generation |
|
|
| --- |
|
|
| ## ⚠️ Limitations |
| - May produce incorrect info |
| - Can be aggressive or unfiltered |
| - Not safe for all audiences |
| - No built-in moderation |
|
|
| --- |
|
|
| ## 🛠️ Usage (Python) |
|
|
| ```python |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| |
| model_name = "your-username/bxfvc" # CHANGE THIS |
| |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = AutoModelForCausalLM.from_pretrained(model_name) |
| |
| prompt = "Write a futuristic story about AI taking over." |
| |
| inputs = tokenizer(prompt, return_tensors="pt") |
| outputs = model.generate(**inputs, max_new_tokens=200) |
| |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| |
