AstraMind Ultra Assistant v0.5
🔥 AstraMind Ultra Assistant 0.5 is a fine-tuned LLM designed for:
🧠 Reasoning & step-by-step thinking
💻 Coding (Python, JS, AI, algorithms)
🚀 Startup and product strategy
📄 Resume improvement and career help
📚 General knowledge and conversational AI
This model is based on DeepSeek-Coder-1.3B-Instruct and trained using:
LoRA tuning
High-quality datasets (OpenHermes, coding tasks, reasoning)
Custom conversation format
🧪 Example Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "YOUR_USERNAME/AstraMind-Ultra-Assistant-0.5"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
prompt = "Explain quantum computing simply."
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=150)
print(tokenizer.decode(output[0]))
Training Details
Feature Value
Base Model DeepSeek-Coder-1.3B-Instruct
Technique LoRA Fine-tuning
Parameters Trained ~3.1M
Context Length ~4k tokens
Version v0.5 (Preview)
Roadmap
⏭️ Version 1.0 — more reasoning & safety training
🔍 RAG support
🤝 API hosting
🧪 Long-context version (16K–32K)
Author
Made by Muneer Ali 🧠🚀
License
Apache-2.0 — Free for commercial and personal use.
