qwen3-8b-sft-261001-bigmath-sol-fsdp-0-epoch-4
Qwen3-8B after full-parameter supervised fine-tuning for mathematical keyword and meaning generation.
This is the exact saved epoch 4 checkpoint at optimizer step 2976. The repository contains the model weights, configuration, and tokenizer files for inference.
Training dataset: devpotatopotato/math-keyword-training, keyword-261001-bigmath-gpt-6-sol.jsonl.
Use the tokenizer chat template with enable_thinking=False. Pass the following template as a user message and replace {problem} with the problem text:
Read the problem and identify the most important idea for solving it. Express the idea as a keyword or short phrase, and explain its meaning in detail.
Requirements:
- Return the single most useful keyword and its corresponding meaning.
- Choose concrete, specific insights, methods, reductions, constructions, or theorems that guide the best solution path. Avoid vague or broad terms.
- The keyword must contain one to five short words. Prefer fewer words.
- Make the meaning as detailed and comprehensive as possible. Define the keyword, describe its relevant properties, and clarify why it is useful. The meaning must stand on its own, without referring to the specific problem or including any solution steps, attempts, or problem-specific applications.
- Do not include a separate final answer, a reasoning trace, Markdown, or any text outside the required tags.
- Follow the output format:
"""
<keyword>keyword</keyword>
<meaning>meaning</meaning>
"""
Problem:
{problem}