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Download README.md from gfhdafdhd/olmo3-190m-zh-full-continue: direct link, hf CLI and curl.
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https://huggingface.co/gfhdafdhd/olmo3-190m-zh-full-continue/resolve/7b6d35e0cf86e1a0b794d9a37a8af1218e1c2edc/README.md
- Command line
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hf download hf://gfhdafdhd/olmo3-190m-zh-full-continue@7b6d35e0cf86e1a0b794d9a37a8af1218e1c2edc/README.md
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curl -L -o README.md https://huggingface.co/gfhdafdhd/olmo3-190m-zh-full-continue/resolve/7b6d35e0cf86e1a0b794d9a37a8af1218e1c2edc/README.md
712 Bytes
metadata
base_model: gfhdafdhd/olmo3-190m-zh-full
license: apache-2.0
language:
- zh
tags:
- llm001
- olmo3
- chinese
- continued-pretraining
gfhdafdhd/olmo3-190m-zh-full-continue
持续预训练版本:基于 gfhdafdhd/olmo3-190m-zh-full, 在 cmz1024/llm101-olmo3-zh-demo-data/continue 数据上继续训练。
训练配置
- 数据:cmz1024/llm101-olmo3-zh-demo-data/continue/full_v31.bin
- LR:2e-4(低 LR 防止灾难性遗忘)
- Warmup:10%
用法
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("gfhdafdhd/olmo3-190m-zh-full-continue")
tok = AutoTokenizer.from_pretrained("gfhdafdhd/olmo3-190m-zh-full-continue")