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LeoPard-Coder-UI-0.1
VortexHunter23/LeoPard-Coder-UI-0.1
LeoPard-Coder-UI-0.1 is a machine learning model from VortexHunter23. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
LeoPARD-Coder-0.8.5 is a merge of the following models using LazyMergekit: Tesslate/Tessa-T1-14B Tesslate/UIGEN-T1.5-14B
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At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025
- SHA
- e3ece26f
Model card
From the Hugging Face model README
LeoPARD-Coder-0.8.5
LeoPARD-Coder-0.8.5 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Tesslate/Tessa-T1-14B
- model: Tesslate/UIGEN-T1.5-14B
base_model: agentica-org/DeepCoder-14B-Preview
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "VortexHunter23/LeoPARD-Coder-0.8.5"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
- Type
- qwen2
- License
- apache-2.0
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025