| attention_logit_softcapping: null | |
| attention_scores_scalar: null | |
| attn_bias: false | |
| bias: false | |
| block_size: 2048 | |
| final_logit_softcapping: null | |
| gelu_approximate: none | |
| head_size: 64 | |
| hf_config: | |
| name: MicroLlama | |
| org: keeeeenw | |
| intermediate_size: 5632 | |
| lm_head_bias: false | |
| mlp_class_name: LLaMAMLP | |
| n_embd: 1024 | |
| n_expert: 0 | |
| n_expert_per_token: 0 | |
| n_head: 16 | |
| n_layer: 12 | |
| n_query_groups: 4 | |
| name: micro-llama-300M | |
| norm_class_name: RMSNorm | |
| norm_eps: 1.0e-05 | |
| padded_vocab_size: 32000 | |
| padding_multiple: 64 | |
| parallel_residual: false | |
| post_attention_norm: false | |
| post_mlp_norm: false | |
| rope_adjustments: null | |
| rope_base: 10000 | |
| rope_condense_ratio: 1 | |
| rotary_percentage: 1.0 | |
| scale_embeddings: false | |
| shared_attention_norm: false | |
| sliding_window_layer_placing: null | |
| sliding_window_size: null | |
| vocab_size: 32000 | |