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openpangu
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openPangu-R-72B-2512-Int8

PanguProMoE
custom_code
compressed-tensors
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openPangu-R-72B-2512-Int8
File size: 2,908 Bytes
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{
    "architectures": [
        "PanguProMoEV2ForCausalLM"
    ],
    "attention_dropout": 0.0,
    "auto_map": {
        "AutoConfig": "configuration_pangu_moe.PanguProMoEConfig",
        "AutoModel": "modeling_pangu_moe.PanguProMoEModel",
        "AutoModelForCausalLM": "modeling_pangu_moe.PanguProMoEV2ForCausalLM"
    },
    "mlp_only_layers": [
        0,
        1,
        2,
        3
    ],
    "bos_token_id": 1,
    "eos_token_id": 45892,
    "hidden_act": "silu",
    "hidden_size": 4608,
    "initializer_range": 0.02,
    "intermediate_size": 10240,
    "max_position_embeddings": 131072,
    "model_type": "PanguProMoE",
    "moe_intermediate_size": 1280,
    "num_attention_heads": 64,
    "num_experts": 80,
    "norm_topk_prob": true,
    "router_enable_expert_bias": true,
    "num_experts_per_tok": 8,
    "num_hidden_layers": 50,
    "num_key_value_heads": 4,
    "output_router_logits": false,
    "rms_norm_eps": 1e-05,
    "rope_theta": 25600000,
    "routed_scaling_factor": 2.5,
    "sandwich_norm": true,
    "shared_expert_intermediate_size": 2560,
    "tie_word_embeddings": false,
    "torch_dtype": "bfloat16",
    "transformers_version": "4.48.2",
    "use_cache": true,
    "vocab_size": 153600,
    "qk_nope_dim": 128,
    "qk_rope_dim": 64,
    "v_channels": 128,
    "param_sink_number": 128,
    "param_sink_with_value": true,
    "num_mtp_layers": 1,
    "mtp_quantize": "w8a8_dynamic",
    "quantize": "w8a8_dynamic",
    "quantization_config": {
        "config_groups": {
            "group_0": {
                "input_activations": {
                    "actorder": null,
                    "block_structure": null,
                    "dynamic": true,
                    "group_size": null,
                    "num_bits": 8,
                    "observer": "memoryless",
                    "observer_kwargs": {},
                    "strategy": "token",
                    "symmetric": true,
                    "type": "int"
                },
                "output_activations": null,
                "targets": [
                    "Linear"
                ],
                "weights": {
                    "actorder": null,
                    "block_structure": null,
                    "dynamic": false,
                    "group_size": null,
                    "num_bits": 8,
                    "observer": "minmax",
                    "observer_kwargs": {},
                    "strategy": "channel",
                    "symmetric": true,
                    "type": "int"
                }
            }
        },
        "format": "int-quantized",
        "kv_cache_scheme": {
            "num_bits": 8,
            "type": "int",
            "strategy": "channel",
            "dynamic": false,
            "symmetric": true
        },
        "quant_method": "compressed-tensors",
        "quantization_status": "compressed"
    }
}