alpha-er / config.json
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alpha-er: 100M model trained on a from-scratch CUDA-free GPU stack
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{
"model_type": "alpha-er",
"architectures": [
"AlphaErForCausalLM"
],
"auto_map": {
"AutoModelForCausalLM": "modeling_alpha.AlphaErForCausalLM"
},
"vocab_size": 12288,
"block_size": 512,
"n_layer": 2,
"n_embd": 1024,
"n_head": 8,
"ffn_dim": 20480,
"mlp_experts": 64,
"lm_head_rank": 128,
"attn_rank": 128,
"attn_soft_cap": 30.0,
"layer_norm_eps": 1e-05,
"torch_dtype": "float32",
"trained_step": 20000
}