Model Card for Melinoe-14B

Model Information

• Model Name: Melinoe-14B
• Base Model: Qwen3-14B
• Model Type: A causal language model fine-tuned for [e.g., instruction following, dialogue, code generation].
• License: [e.g., Apache 2.0, MIT]

Intended Use

This model is designed for [briefly describe the primary use case, e.g., 'serving as a conversational chatbot on technology-related topics']. It should not be used for high-stakes decisions or generating harmful content. Fact-check important information.

Limitations

The model may produce factually incorrect or biased information. Its knowledge is limited to its training data and it can be prone to hallucination.

How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model and tokenizer
model_name = "[your-model-name-on-huggingface-or-local-path]"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Generate text
prompt = "Your prompt here"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))