config.json

{
  "apply_qk_norm": true,
  "architectures": [
    "OpenLMForCausalLM"
  ],
  "attn_activation": null,
  "attn_name": "torch_attn",
  "attn_seq_scalar": null,
  "attn_seq_scalar_alpha": null,
  "dim": 2048,
  "ffn_type": "swiglu_torch",
  "model": "open_lm_1b_swiglutorch",
  "model_type": "openlm",
  "moe_capacity_factor": 1.25,
  "moe_expert_model_parallelism": false,
  "moe_freq": 0,
  "moe_loss_weight": 0.1,
  "moe_num_experts": null,
  "moe_top_k": 2,
  "moe_weight_parallelism": false,
  "n_heads": 16,
  "n_layers": 24,
  "norm_eps": 1e-05,
  "norm_type": "gain_only_lp_layer_norm",
  "params": null,
  "positional_embedding_type": "rotary",
  "post_embed_norm": false,
  "qk_norm": true,
  "seq_len": 2048,
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "vocab_size": 50432,
  "weight_tying": false
}