AstraMind-Ultra-Assistant-0.5

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.