Zurich-14B / app.py
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import gradio as gr
import spaces
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_name = "rubenroy/Zurich-7b-GCv2-1m"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.bfloat16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
@spaces.GPU
def generate(prompt, history):
messages = [
{"role": "system", "content": "You are Zurich, a 7 billion parameter Large Language model built on the Qwen 2.5 7B model developed by Alibaba Cloud, and fine-tuned by Ruben Roy. You have been fine-tuned with the GammaCorpus v2 dataset, a dataset filled with structured and filtered multi-turn conversations and was also created by Ruben Roy. You are a helpful assistant."},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
generated_ids = model.generate(
**model_inputs,
max_new_tokens=512
)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
return response
TITLE_HTML = """
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css">
<style>
.model-btn {
background: linear-gradient(135deg, #2563eb 0%, #1d4ed8 100%);
color: white !important;
padding: 0.75rem 1rem;
border-radius: 0.5rem;
text-decoration: none !important;
font-weight: 500;
transition: all 0.2s ease;
font-size: 0.9rem;
display: flex;
align-items: center;
justify-content: center;
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
}
.model-btn:hover {
background: linear-gradient(135deg, #1d4ed8 0%, #1e40af 100%);
box-shadow: 0 4px 6px rgba(0,0,0,0.2);
}
.model-section {
flex: 1;
max-width: 450px;
background: rgba(255, 255, 255, 0.05);
padding: 1.5rem;
border-radius: 1rem;
border: 1px solid rgba(255, 255, 255, 0.1);
backdrop-filter: blur(10px);
transition: all 0.3s ease;
}
.info-link {
color: #60a5fa;
text-decoration: none;
transition: color 0.2s ease;
}
.info-link:hover {
color: #93c5fd;
text-decoration: underline;
}
.info-section {
margin-top: 0.5rem;
font-size: 0.9rem;
color: #94a3b8;
}
</style>
<div style="background: linear-gradient(135deg, #1e293b 0%, #0f172a 100%); padding: 1.5rem; border-radius: 1.5rem; text-align: center; margin: 1rem auto; max-width: 1200px; box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);">
<div style="margin-bottom: 1.5rem;">
<div style="display: flex; align-items: center; justify-content: center; gap: 1rem;">
<h1 style="font-size: 2.5rem; font-weight: 800; margin: 0; background: linear-gradient(135deg, #60a5fa 0%, #93c5fd 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">Zurich</h1>
<div style="width: 2px; height: 2.5rem; background: linear-gradient(180deg, #3b82f6 0%, #60a5fa 100%);"></div>
<p style="font-size: 1.25rem; color: #94a3b8; margin: 0;">GammaCorpus v2-1m</p>
</div>
<div class="info-section">
<span>Fine-tuned from <a href="https://huggingface.co/Qwen/Qwen2.5-7B-Instruct" class="info-link">Qwen 2.5 7B Instruct</a> | Model: <a href="https://huggingface.co/rubenroy/Zurich-7b-GCv2-1m" class="info-link">Zurich-7b-GCv2-1m</a> | Training Dataset: <a href="https://huggingface.co/datasets/rubenroy/GammaCorpus-v2-1m" class="info-link">GammaCorpus v2 1m</a></span>
</div>
</div>
<div style="display: flex; gap: 1.5rem; justify-content: center;">
<div class="model-section">
<h2 style="font-size: 1.25rem; color: #e2e8f0; margin-bottom: 1rem; margin-top: 1px; font-weight: 600; display: flex; align-items: center; justify-content: center; gap: 0.7rem;">
<i class="fas fa-brain"></i>
7B Models
</h2>
<div style="display: grid; grid-template-columns: repeat(2, 1fr); gap: 0.75rem;">
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-5m" class="model-btn">Zurich 7B GCv2 5m</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-1m" class="model-btn">Zurich 7B GCv2 1m</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-500k" class="model-btn">Zurich 7B GCv2 500k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-100k" class="model-btn">Zurich 7B GCv2 100k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-50k" class="model-btn">Zurich 7B GCv2 50k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-7B-GCv2-10k" class="model-btn">Zurich 7B GCv2 10k</a>
</div>
</div>
<div class="model-section">
<h2 style="font-size: 1.25rem; color: #e2e8f0; margin-bottom: 1rem; margin-top: 1px; font-weight: 600; display: flex; align-items: center; justify-content: center; gap: 0.7rem;">
<i class="fas fa-rocket"></i>
14B Models
</h2>
<div style="display: grid; grid-template-columns: repeat(2, 1fr); gap: 0.75rem;">
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-5m" class="model-btn">Zurich 14B GCv2 5m</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-1m" class="model-btn">Zurich 14B GCv2 1m</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-500k" class="model-btn">Zurich 14B GCv2 500k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-100k" class="model-btn">Zurich 14B GCv2 100k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-50k" class="model-btn">Zurich 14B GCv2 50k</a>
<a href="https://huggingface.co/spaces/rubenroy/Zurich-14B-GCv2-10k" class="model-btn">Zurich 14B GCv2 10k</a>
</div>
</div>
</div>
</div>
"""
with gr.Blocks() as demo:
gr.HTML(TITLE_HTML)
chat_interface = gr.ChatInterface(
fn=generate,
)
demo.launch(share=True)