{ "architectures": [ "Lfm2MoeForCausalLM" ], "bos_token_id": 124894, "conv_L_cache": 3, "conv_bias": false, "dtype": "bfloat16", "eos_token_id": 124900, "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 7168, "layer_types": [ "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "conv", "full_attention", "conv", "conv", "full_attention", "conv", "conv" ], "max_position_embeddings": 128000, "model_type": "lfm2_moe", "moe_intermediate_size": 1792, "norm_eps": 1e-05, "norm_topk_prob": true, "num_attention_heads": 32, "num_dense_layers": 2, "num_experts": 32, "num_experts_per_tok": 4, "num_hidden_layers": 24, "num_key_value_heads": 8, "pad_token_id": 124893, "rope_parameters": { "rope_theta": 5000000, "rope_type": "default" }, "routed_scaling_factor": 1.0, "tie_word_embeddings": true, "transformers_version": "5.9.0", "use_cache": true, "use_expert_bias": true, "vocab_size": 128000, "quantization": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.conv.in_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.conv.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.conv.in_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.conv.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.13.conv.in_proj": { "bits": 5, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.k_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.q_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.v_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.conv.in_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.3.conv.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" } }, "quantization_config": { "group_size": 64, "bits": 4, "mode": "affine", "model.embed_tokens": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.conv.in_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.conv.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.gate_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.down_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.0.feed_forward.up_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.1.conv.in_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.conv.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.gate_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.down_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.1.feed_forward.up_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.10.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.13.conv.in_proj": { "bits": 5, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.14.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.18.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.k_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.q_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.2.self_attn.v_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.21.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.3.conv.in_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.3.conv.out_proj": { "bits": 6, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.k_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.out_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.q_proj": { "bits": 8, "group_size": 64, "mode": "affine" }, "model.layers.6.self_attn.v_proj": { "bits": 8, "group_size": 64, "mode": "affine" } } }