Architecture: ExtractedMatFormerForCausalLM
MatFormer size: xl
Parameters: 352,943,360
Source checkpoint: atrost/climbmix-matformer-353m-1p2b-h100
Source checkpoint revision: 09960b1419b0340d8e918107e3915c0dccd852de
Source training actual tokens: 1,201,668,096
Slice spec: {'num_attention_heads': 16, 'num_key_value_heads': 8, 'intermediate_size': 3584}

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python

from transformers import AutoModelForCausalLM, AutoTokenizer

repo_id = "atrost/climbmix-matformer-353m-1p2b-h100-xl"
tokenizer = AutoTokenizer.from_pretrained(repo_id)
model = AutoModelForCausalLM.from_pretrained(
    repo_id,
    trust_remote_code=True,
    torch_dtype="auto",
)

trust_remote_code=True is required for the custom MatFormer extracted architecture.