cpu

LlamaForCausalLM( (model): LlamaModel( (embed_tokens): Embedding(49152, 960) (layers): ModuleList( (0-31): 32 x LlamaDecoderLayer( (self_attn): LlamaSdpaAttention( (q_proj): Linear(in_features=960, out_features=960, bias=False) (k_proj): Linear(in_features=960, out_features=320, bias=False) (v_proj): Linear(in_features=960, out_features=320, bias=False) (o_proj): Linear(in_features=960, out_features=960, bias=False) (rotary_emb): LlamaRotaryEmbedding() ) (mlp): LlamaMLP( (gate_proj): Linear(in_features=960, out_features=2560, bias=False) (up_proj): Linear(in_features=960, out_features=2560, bias=False) (down_proj): Linear(in_features=2560, out_features=960, bias=False) (act_fn): SiLU() ) (input_layernorm): LlamaRMSNorm((960,), eps=1e-05) (post_attention_layernorm): LlamaRMSNorm((960,), eps=1e-05) ) ) (norm): LlamaRMSNorm...

GPT2TokenizerFast(name_or_path='HuggingFaceTB/SmolLM2-360M', vocab_size=49152, model_max_length=8192, is_fast=True, padding_side='right', truncation_side='right', special_tokens={'bos_token': '<|endoftext|>', 'eos_token': '<|endoftext|>', 'unk_token': '<|endoftext|>', 'additional_special_tokens': ['<|endoftext|>', '<|im_start|>', '<|im_end|>', '<repo_name>', '<reponame>', '<file_sep>', '<filename>', '<gh_stars>', '<issue_start>', '<issue_comment>', '<issue_closed>', '<jupyter_start>', '<jupyter_text>', '<jupyter_code>', '<jupyter_output>', '<jupyter_script>', '<empty_output>']}, clean_up_tokenization_spaces=False), added_tokens_decoder={ 0: AddedToken("<|endoftext|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), 1: AddedToken("<|im_start|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), 2: AddedToken("<|im_end|>", rstrip=False, lstrip=False, single_word=False, normalized=False, special=True), 3: AddedToken("<repo...