| name: llama | |
| model: | |
| pretrained_model_name_or_path: "meta-llama/Meta-Llama-3.1-8B" | |
| cache_dir: "/scr-ssd/mzhang/models/llama-3_1-8b" # Set this to where you want to save checkpoint weights | |
| return_dict: true | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| device_map: auto | |
| low_cpu_mem_usage: true | |
| torch_dtype: bfloat16 | |
| attn_implementation: eager | |
| rope_theta: 500000.0 | |
| rope_scaling: | |
| factor: 8.0 | |
| low_freq_factor: 1.0 | |
| high_freq_factor: 4.0 | |
| original_max_position_embeddings: 8192 | |
| rope_type: llama3 | |
| attention: | |
| attention_type: lolcats_llama | |
| feature_map: softmax_dim | |
| feature_map_kwargs: | |
| eps: 1e-12 | |
| # mlp: null # to set | |
| fullspace: true | |
| layer_idx: null # to set | |
| learned_kernel: untied_head_einsum | |
| learned_kernel_kwargs: | |
| feature_dim: 64 | |
| skip_connection: false | |
| bias: false | |
| zero_init: false | |
| tie_qk_kernels: false | |
| train_qk: false | |