Zephyr-7B-Beta (Fine-tuned for Subnet 20 BitAgent)

This is a fine-tuned version of Mistral-7B adapted for function-calling and reasoning tasks in Bittensor Subnet 20 (BitAgent).

🧠 Use Case

• Works as an agent LLM inside the BitAgent subnet.
• Supports reasoning and function-calling outputs.
• Optimized for task delegation and structured outputs.

🚀 How to Use

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("username/zephyr-7b-beta-bitagent")
tokenizer = AutoTokenizer.from_pretrained("username/zephyr-7b-beta-bitagent")

prompt = "Summarize the latest research in AI safety in 3 bullet points."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))