🧠 Mineral-1B

Mineral-1B is a lightweight open language model under the Apache License 2.0, built using Hugging Face AutoTrain for smart and automatic model management.
The project aims to create a flexible LLM capable of natural conversation, reasoning, and code assistance.

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⚙️ Configuration

• Base model: microsoft/phi-2
• Pipeline: text-generation
• Library: transformers
• License: Apache 2.0
• Training: AutoTrain (no dataset yet — pretrained mode)

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🚀 Goals

• Serve as a foundation for text generation and conversational tasks
• Support English and optionally other languages
• Enable later fine-tuning with domain-specific data

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📘 Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("prelington/Mineral-1B")
model = AutoModelForCausalLM.from_pretrained("prelington/Mineral-1B")

prompt = "Hello! What is Mineral-1B?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))