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Qwen2.5-1.5B-search-r1 – AI Model by LZYFirecn | AlphaNeural AI

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LZYFirecn/
Qwen2.5-1.5B-search-r1

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reinforcement-learning

Qwen/Qwen2.5-1.5B

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Qwen2.5-1.5B Search-R1

This model is fine-tuned from Qwen2.5-1.5B using the SLIME framework with Search-R1 task.

Training Details

Base Model: Qwen2.5-1.5B
Training Step: 149
Algorithm: GRPO (Group Relative Policy Optimization)
Task: Search-R1 (Question Answering with Search)
Framework: SLIME + Megatron-LM

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("LZYFirecn/Qwen2.5-1.5B-search-r1")
tokenizer = AutoTokenizer.from_pretrained("LZYFirecn/Qwen2.5-1.5B-search-r1")

# Generate
inputs = tokenizer("Your question here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0]))