krishnateja95's picture
Upload folder using huggingface_hub
15230de verified
{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 12288,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 36,
"model_type": "qwen3",
"num_attention_heads": 32,
"num_hidden_layers": 36,
"num_key_value_heads": 8,
"quantization_config": {
"config_groups": {
"group_0": {
"format": "float-quantized",
"input_activations": {
"actorder": null,
"block_structure": null,
"dynamic": true,
"group_size": null,
"num_bits": 8,
"observer": null,
"observer_kwargs": {},
"strategy": "token",
"symmetric": true,
"type": "float"
},
"output_activations": null,
"targets": [
"re:.*model.layers.0.self_attn.o_proj.*",
"re:.*model.layers.0.self_attn.q_proj.*",
"re:.*model.layers.0.self_attn.k_proj.*",
"re:.*model.layers.0.self_attn.v_proj.*",
"re:.*model.layers.1.mlp.down_proj.*",
"re:.*model.layers.1.self_attn.o_proj.*",
"re:.*model.layers.1.self_attn.q_proj.*",
"re:.*model.layers.1.self_attn.k_proj.*",
"re:.*model.layers.1.self_attn.v_proj.*",
"re:.*model.layers.10.mlp.down_proj.*",
"re:.*model.layers.10.self_attn.o_proj.*",
"re:.*model.layers.10.self_attn.q_proj.*",
"re:.*model.layers.10.self_attn.k_proj.*",
"re:.*model.layers.10.self_attn.v_proj.*",
"re:.*model.layers.11.mlp.down_proj.*",
"re:.*model.layers.11.self_attn.o_proj.*",
"re:.*model.layers.11.self_attn.q_proj.*",
"re:.*model.layers.11.self_attn.k_proj.*",
"re:.*model.layers.11.self_attn.v_proj.*",
"re:.*model.layers.12.mlp.down_proj.*",
"re:.*model.layers.12.self_attn.o_proj.*",
"re:.*model.layers.12.self_attn.q_proj.*",
"re:.*model.layers.12.self_attn.k_proj.*",
"re:.*model.layers.12.self_attn.v_proj.*",
"re:.*model.layers.13.mlp.down_proj.*",
"re:.*model.layers.13.self_attn.o_proj.*",
"re:.*model.layers.13.self_attn.q_proj.*",
"re:.*model.layers.13.self_attn.k_proj.*",
"re:.*model.layers.13.self_attn.v_proj.*",
"re:.*model.layers.14.mlp.down_proj.*",
"re:.*model.layers.14.self_attn.o_proj.*",
"re:.*model.layers.14.self_attn.q_proj.*",
"re:.*model.layers.14.self_attn.k_proj.*",
"re:.*model.layers.14.self_attn.v_proj.*",
"re:.*model.layers.15.mlp.down_proj.*",
"re:.*model.layers.15.self_attn.o_proj.*",
"re:.*model.layers.15.self_attn.q_proj.*",
"re:.*model.layers.15.self_attn.k_proj.*",
"re:.*model.layers.15.self_attn.v_proj.*",
"re:.*model.layers.16.mlp.down_proj.*",
"re:.*model.layers.16.self_attn.o_proj.*",
"re:.*model.layers.16.self_attn.q_proj.*",
"re:.*model.layers.16.self_attn.k_proj.*",
"re:.*model.layers.16.self_attn.v_proj.*",
"re:.*model.layers.17.mlp.down_proj.*",
"re:.*model.layers.17.mlp.gate_proj.*",
"re:.*model.layers.17.mlp.up_proj.*",
"re:.*model.layers.17.self_attn.o_proj.*",
"re:.*model.layers.17.self_attn.q_proj.*",
"re:.*model.layers.17.self_attn.k_proj.*",
"re:.*model.layers.17.self_attn.v_proj.*",
"re:.*model.layers.18.mlp.down_proj.*",
"re:.*model.layers.18.mlp.gate_proj.*",
"re:.*model.layers.18.mlp.up_proj.*",
"re:.*model.layers.18.self_attn.o_proj.*",
"re:.*model.layers.18.self_attn.q_proj.*",
"re:.*model.layers.18.self_attn.k_proj.*",
"re:.*model.layers.18.self_attn.v_proj.*",
"re:.*model.layers.19.mlp.down_proj.*",
"re:.*model.layers.19.mlp.gate_proj.*",
"re:.*model.layers.19.mlp.up_proj.*",
"re:.*model.layers.19.self_attn.o_proj.*",
"re:.*model.layers.19.self_attn.q_proj.*",
"re:.*model.layers.19.self_attn.k_proj.*",
"re:.*model.layers.19.self_attn.v_proj.*",
"re:.*model.layers.2.mlp.down_proj.*",
"re:.*model.layers.2.self_attn.o_proj.*",
"re:.*model.layers.2.self_attn.q_proj.*",
"re:.*model.layers.2.self_attn.k_proj.*",
"re:.*model.layers.2.self_attn.v_proj.*",
"re:.*model.layers.20.mlp.down_proj.*",
"re:.*model.layers.20.mlp.gate_proj.*",
"re:.*model.layers.20.mlp.up_proj.*",
"re:.*model.layers.20.self_attn.o_proj.*",
"re:.*model.layers.20.self_attn.q_proj.*",
"re:.*model.layers.20.self_attn.k_proj.*",
"re:.*model.layers.20.self_attn.v_proj.*",
"re:.*model.layers.21.mlp.down_proj.*",
"re:.*model.layers.21.mlp.gate_proj.*",
"re:.*model.layers.21.mlp.up_proj.*",
"re:.*model.layers.21.self_attn.o_proj.*",
"re:.*model.layers.21.self_attn.q_proj.*",
"re:.*model.layers.21.self_attn.k_proj.*",
"re:.*model.layers.21.self_attn.v_proj.*",
"re:.*model.layers.22.mlp.down_proj.*",
"re:.*model.layers.22.mlp.gate_proj.*",
"re:.*model.layers.22.mlp.up_proj.*",
"re:.*model.layers.22.self_attn.o_proj.*",
"re:.*model.layers.22.self_attn.q_proj.*",
"re:.*model.layers.22.self_attn.k_proj.*",
"re:.*model.layers.22.self_attn.v_proj.*",
"re:.*model.layers.23.mlp.down_proj.*",
"re:.*model.layers.23.mlp.gate_proj.*",
"re:.*model.layers.23.mlp.up_proj.*",
"re:.*model.layers.23.self_attn.o_proj.*",
"re:.*model.layers.23.self_attn.q_proj.*",
"re:.*model.layers.23.self_attn.k_proj.*",
"re:.*model.layers.23.self_attn.v_proj.*",
"re:.*model.layers.24.mlp.down_proj.*",
"re:.*model.layers.24.mlp.gate_proj.*",
"re:.*model.layers.24.mlp.up_proj.*",
"re:.*model.layers.24.self_attn.o_proj.*",
"re:.*model.layers.24.self_attn.q_proj.*",
"re:.*model.layers.24.self_attn.k_proj.*",
"re:.*model.layers.24.self_attn.v_proj.*",
"re:.*model.layers.25.mlp.down_proj.*",
"re:.*model.layers.25.mlp.gate_proj.*",
"re:.*model.layers.25.mlp.up_proj.*",
"re:.*model.layers.25.self_attn.o_proj.*",
"re:.*model.layers.25.self_attn.q_proj.*",
"re:.*model.layers.25.self_attn.k_proj.*",
"re:.*model.layers.25.self_attn.v_proj.*",
"re:.*model.layers.26.mlp.down_proj.*",
"re:.*model.layers.26.mlp.gate_proj.*",
"re:.*model.layers.26.mlp.up_proj.*",
"re:.*model.layers.26.self_attn.o_proj.*",
"re:.*model.layers.26.self_attn.q_proj.*",
"re:.*model.layers.26.self_attn.k_proj.*",
"re:.*model.layers.26.self_attn.v_proj.*",
"re:.*model.layers.27.mlp.down_proj.*",
"re:.*model.layers.27.mlp.gate_proj.*",
"re:.*model.layers.27.mlp.up_proj.*",
"re:.*model.layers.27.self_attn.o_proj.*",
"re:.*model.layers.27.self_attn.q_proj.*",
"re:.*model.layers.27.self_attn.k_proj.*",
"re:.*model.layers.27.self_attn.v_proj.*",
"re:.*model.layers.28.mlp.down_proj.*",
"re:.*model.layers.28.mlp.gate_proj.*",
"re:.*model.layers.28.mlp.up_proj.*",
"re:.*model.layers.28.self_attn.o_proj.*",
"re:.*model.layers.28.self_attn.q_proj.*",
"re:.*model.layers.28.self_attn.k_proj.*",
"re:.*model.layers.28.self_attn.v_proj.*",
"re:.*model.layers.29.mlp.down_proj.*",
"re:.*model.layers.29.mlp.gate_proj.*",
"re:.*model.layers.29.mlp.up_proj.*",
"re:.*model.layers.29.self_attn.o_proj.*",
"re:.*model.layers.29.self_attn.q_proj.*",
"re:.*model.layers.29.self_attn.k_proj.*",
"re:.*model.layers.29.self_attn.v_proj.*",
"re:.*model.layers.3.mlp.down_proj.*",
"re:.*model.layers.3.self_attn.o_proj.*",
"re:.*model.layers.3.self_attn.q_proj.*",
"re:.*model.layers.3.self_attn.k_proj.*",
"re:.*model.layers.3.self_attn.v_proj.*",
"re:.*model.layers.30.mlp.down_proj.*",
"re:.*model.layers.30.mlp.gate_proj.*",
"re:.*model.layers.30.mlp.up_proj.*",
"re:.*model.layers.30.self_attn.o_proj.*",
"re:.*model.layers.30.self_attn.q_proj.*",
"re:.*model.layers.30.self_attn.k_proj.*",
"re:.*model.layers.30.self_attn.v_proj.*",
"re:.*model.layers.31.mlp.down_proj.*",
"re:.*model.layers.31.mlp.gate_proj.*",
"re:.*model.layers.31.mlp.up_proj.*",
"re:.*model.layers.31.self_attn.o_proj.*",
"re:.*model.layers.31.self_attn.q_proj.*",
"re:.*model.layers.31.self_attn.k_proj.*",
"re:.*model.layers.31.self_attn.v_proj.*",
"re:.*model.layers.32.mlp.down_proj.*",
"re:.*model.layers.32.mlp.gate_proj.*",
"re:.*model.layers.32.mlp.up_proj.*",
"re:.*model.layers.32.self_attn.o_proj.*",
"re:.*model.layers.32.self_attn.q_proj.*",
"re:.*model.layers.32.self_attn.k_proj.*",
"re:.*model.layers.32.self_attn.v_proj.*",
"re:.*model.layers.33.mlp.down_proj.*",
"re:.*model.layers.33.mlp.gate_proj.*",
"re:.*model.layers.33.mlp.up_proj.*",
"re:.*model.layers.33.self_attn.o_proj.*",
"re:.*model.layers.33.self_attn.q_proj.*",
"re:.*model.layers.33.self_attn.k_proj.*",
"re:.*model.layers.33.self_attn.v_proj.*",
"re:.*model.layers.34.mlp.down_proj.*",
"re:.*model.layers.34.mlp.gate_proj.*",
"re:.*model.layers.34.mlp.up_proj.*",
"re:.*model.layers.34.self_attn.o_proj.*",
"re:.*model.layers.34.self_attn.q_proj.*",
"re:.*model.layers.34.self_attn.k_proj.*",
"re:.*model.layers.34.self_attn.v_proj.*",
"re:.*model.layers.35.mlp.down_proj.*",
"re:.*model.layers.35.mlp.gate_proj.*",
"re:.*model.layers.35.mlp.up_proj.*",
"re:.*model.layers.35.self_attn.o_proj.*",
"re:.*model.layers.35.self_attn.q_proj.*",
"re:.*model.layers.35.self_attn.k_proj.*",
"re:.*model.layers.35.self_attn.v_proj.*",
"re:.*model.layers.4.mlp.down_proj.*",
"re:.*model.layers.4.self_attn.o_proj.*",
"re:.*model.layers.4.self_attn.q_proj.*",
"re:.*model.layers.4.self_attn.k_proj.*",
"re:.*model.layers.4.self_attn.v_proj.*",
"re:.*model.layers.5.mlp.down_proj.*",
"re:.*model.layers.5.self_attn.o_proj.*",
"re:.*model.layers.5.self_attn.q_proj.*",
"re:.*model.layers.5.self_attn.k_proj.*",
"re:.*model.layers.5.self_attn.v_proj.*",
"re:.*model.layers.6.mlp.down_proj.*",
"re:.*model.layers.6.self_attn.o_proj.*",
"re:.*model.layers.6.self_attn.q_proj.*",
"re:.*model.layers.6.self_attn.k_proj.*",
"re:.*model.layers.6.self_attn.v_proj.*",
"re:.*model.layers.7.mlp.down_proj.*",
"re:.*model.layers.7.self_attn.o_proj.*",
"re:.*model.layers.7.self_attn.q_proj.*",
"re:.*model.layers.7.self_attn.k_proj.*",
"re:.*model.layers.7.self_attn.v_proj.*",
"re:.*model.layers.8.mlp.down_proj.*",
"re:.*model.layers.8.self_attn.o_proj.*",
"re:.*model.layers.8.self_attn.q_proj.*",
"re:.*model.layers.8.self_attn.k_proj.*",
"re:.*model.layers.8.self_attn.v_proj.*",
"re:.*model.layers.9.mlp.down_proj.*",
"re:.*model.layers.9.self_attn.o_proj.*",
"re:.*model.layers.9.self_attn.q_proj.*",
"re:.*model.layers.9.self_attn.k_proj.*",
"re:.*model.layers.9.self_attn.v_proj.*"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 8,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "channel",
"symmetric": true,
"type": "float"
}
},
"group_1": {
"format": "nvfp4-pack-quantized",
"input_activations": {
"actorder": null,
"block_structure": null,
"dynamic": "local",
"group_size": 16,
"num_bits": 4,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "tensor_group",
"symmetric": true,
"type": "float"
},
"output_activations": null,
"targets": [
"re:.*model.layers.0.mlp.down_proj.*",
"re:.*model.layers.0.mlp.gate_proj.*",
"re:.*model.layers.0.mlp.up_proj.*",
"re:.*model.layers.1.mlp.gate_proj.*",
"re:.*model.layers.1.mlp.up_proj.*",
"re:.*model.layers.10.mlp.gate_proj.*",
"re:.*model.layers.10.mlp.up_proj.*",
"re:.*model.layers.11.mlp.gate_proj.*",
"re:.*model.layers.11.mlp.up_proj.*",
"re:.*model.layers.12.mlp.gate_proj.*",
"re:.*model.layers.12.mlp.up_proj.*",
"re:.*model.layers.13.mlp.gate_proj.*",
"re:.*model.layers.13.mlp.up_proj.*",
"re:.*model.layers.14.mlp.gate_proj.*",
"re:.*model.layers.14.mlp.up_proj.*",
"re:.*model.layers.15.mlp.gate_proj.*",
"re:.*model.layers.15.mlp.up_proj.*",
"re:.*model.layers.16.mlp.gate_proj.*",
"re:.*model.layers.16.mlp.up_proj.*",
"re:.*model.layers.2.mlp.gate_proj.*",
"re:.*model.layers.2.mlp.up_proj.*",
"re:.*model.layers.3.mlp.gate_proj.*",
"re:.*model.layers.3.mlp.up_proj.*",
"re:.*model.layers.4.mlp.gate_proj.*",
"re:.*model.layers.4.mlp.up_proj.*",
"re:.*model.layers.5.mlp.gate_proj.*",
"re:.*model.layers.5.mlp.up_proj.*",
"re:.*model.layers.6.mlp.gate_proj.*",
"re:.*model.layers.6.mlp.up_proj.*",
"re:.*model.layers.7.mlp.gate_proj.*",
"re:.*model.layers.7.mlp.up_proj.*",
"re:.*model.layers.8.mlp.gate_proj.*",
"re:.*model.layers.8.mlp.up_proj.*",
"re:.*model.layers.9.mlp.gate_proj.*",
"re:.*model.layers.9.mlp.up_proj.*"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": 16,
"num_bits": 4,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "tensor_group",
"symmetric": true,
"type": "float"
}
}
},
"format": "mixed-precision",
"global_compression_ratio": null,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.12.2"
},
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "4.56.2",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}