nvidia/Nemotron-ClimbMix
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Native LlamaForCausalLM conversion of atrost/climbmix-matformer-353m-1p2b-h100-m.
The source checkpoint was an extracted fixed-size MatFormer M submodel.
Because that submodel has fixed attention and MLP dimensions, its tensors can be
remapped losslessly into the standard Hugging Face Llama layout. This repo does
not require remote code and is intended to load through vLLM's native Llama path.
atrost/climbmix-matformer-353m-1p2b-h100-mcb222bb9353c30c372c7478533a5cc6f9feac1d70.000e+00from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "atrost/climbmix-matformer-353m-1p2b-h100-m-vllm"
tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForCausalLM.from_pretrained(repo_id, torch_dtype="auto")
from vllm import LLM
llm = LLM(model="atrost/climbmix-matformer-353m-1p2b-h100-m-vllm")