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hyunseoki/verl-math-transfer-7bi-to-7bi-v2
verl-math-transfer-7bi-to-7bi-v2 is a text generation model from hyunseoki. Use it when you need the model to write or continue text. It is set up for transformers.
Math transfer experiment trained with verl. This repo groups all exported Hugging Face checkpoints for the 7B-to-7B v2 configuration.
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From the Hugging Face model README
Math transfer experiment trained with verl. This repo groups all exported Hugging Face checkpoints for the 7B-to-7B v2 configuration.
main: latest exported checkpoint, currently step-150step-010, step-020, step-030, step-040, step-050, step-060, step-070, step-080, step-090, step-100, step-110, step-120, step-130, step-140, step-150from transformers import AutoTokenizer, AutoModelForCausalLM
repo_id = "hyunseoki/verl-math-transfer-7bi-to-7bi-v2"
tokenizer = AutoTokenizer.from_pretrained(repo_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo_id, trust_remote_code=True)
Load a specific checkpoint revision:
from transformers import AutoTokenizer, AutoModelForCausalLM
repo_id = "hyunseoki/verl-math-transfer-7bi-to-7bi-v2"
revision = "step-150"
tokenizer = AutoTokenizer.from_pretrained(repo_id, revision=revision, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(repo_id, revision=revision, trust_remote_code=True)
Qwen2ForCausalLMbase_model metadata is not set automatically.safetensors format.