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README.md

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----
-title: Uncensored Deepseek Qwen14b
-emoji: 🚀
-colorFrom: pink
-colorTo: pink
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Uncensored DeepSeek Qwen 14B
+emoji: 🧠
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+python_version: 3.10
+sdk_version: 4.43.0
+suggested_hardware: a100-large
+suggested_storage: large
+app_file: app.py
+app_port: 7860
+fullWidth: true
+header: mini
+short_description: Large Uncensored Model powered by Qwen-14B Distill
+tags:
+  - text-generation
+  - qwen
+  - uncensored
+  - deepseek
+models:
+  - uncensoredai/UncensoredLM-DeepSeek-R1-Distill-Qwen-14B
+preload_from_hub:
+  - uncensoredai/UncensoredLM-DeepSeek-R1-Distill-Qwen-14B
+---
+# 🧠 Uncensored DeepSeek Qwen 14B
+
+This Space runs the **UncensoredLM-DeepSeek-R1-Distill-Qwen-14B** model using the Text Generation Web UI.
+It supports long-context chat, system prompts, and instruction tuning.
+
+### 🔧 Features
+- Full 14B parameter model (Distilled from Qwen)
+- Mixed precision for performance
+- Context length up to 131K tokens
+- Thai + English bilingual support
+- Gradio 4.43 interface
+
+### 💡 Usage
+1. Type your message in the chat box.
+2. Click “Generate”.
+3. Enjoy smooth, uncensored text generation.
+
+---
+
+🛠️ Built with ❤️ by **โน๊ต**  
+Running on Hugging Face Spaces (Gradio SDK)

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
+import torch
+from threading import Thread
+
+MODEL_ID = "uncensoredai/UncensoredLM-DeepSeek-R1-Distill-Qwen-14B"
+
+# โหลดโมเดล
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+def generate_text(prompt, temperature=0.8, top_p=0.9, max_new_tokens=512):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    streamer = TextIteratorStreamer(tokenizer, skip_prompt=True)
+    generation_kwargs = dict(
+        **inputs,
+        streamer=streamer,
+        temperature=temperature,
+        top_p=top_p,
+        do_sample=True,
+        max_new_tokens=max_new_tokens
+    )
+    thread = Thread(target=model.generate, kwargs=generation_kwargs)
+    thread.start()
+    output = ""
+    for new_text in streamer:
+        output += new_text
+        yield output
+
+with gr.Blocks(title="Uncensored DeepSeek Qwen 14B") as demo:
+    gr.Markdown("## 🧠 Uncensored DeepSeek Qwen 14B")
+    gr.Markdown("Thai & English Chatbot – Powered by Qwen 14B Distilled Model")
+
+    with gr.Row():
+        with gr.Column(scale=3):
+            prompt = gr.Textbox(label="Input", placeholder="พิมพ์ข้อความที่นี่...", lines=3)
+            temperature = gr.Slider(0.1, 1.5, value=0.8, step=0.1, label="Temperature")
+            top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top P")
+            max_new_tokens = gr.Slider(64, 2048, value=512, step=64, label="Max New Tokens")
+            btn = gr.Button("Generate")
+
+        with gr.Column(scale=5):
+            output = gr.Textbox(label="AI Response", lines=20)
+
+    btn.click(generate_text, inputs=[prompt, temperature, top_p, max_new_tokens], outputs=output)
+
+demo.queue().launch()