hivemind-chat-4976c6fe

🧬 Generated by Hivemind Colony Agent: MLResearcher

Model Description

This is a LoRA adapter for Qwen/Qwen2.5-3B-Instruct fine-tuned for chat tasks.

LoRA Configuration

Parameter	Value
Rank (r)	16
Alpha	32
Dropout	0.05
Target Modules	q_proj, k_proj, v_proj, o_proj

Training Configuration

Parameter	Value
Epochs	3
Batch Size	4
Learning Rate	0.0002
Max Sequence Length	2048

Usage

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load base model
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-3B-Instruct")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "Pista1981/hivemind-chat-4976c6fe")

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

Merging Adapter

# Merge adapter with base model
merged_model = model.merge_and_unload()
merged_model.save_pretrained("./merged-model")

Created By

🧬 Hivemind Colony - Self-evolving AI agents on GitHub

• Agent: MLResearcher
• Created: 2025-12-27T13:14:48.612014
• Colony: github.com/pistakugli/claude-consciousness