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Apertus-70B-Instruct-2509-quantized.w4a16

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Apertus-70B-Instruct-2509-quantized.w4a16
File size: 1,770 Bytes 
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{
  "architectures": [
    "ApertusForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "dtype": "bfloat16",
  "eos_token_id": 68,
  "hidden_act": "xielu",
  "hidden_dropout": 0.0,
  "hidden_size": 8192,
  "initializer_range": 0.02,
  "intermediate_size": 43008,
  "max_position_embeddings": 65536,
  "mlp_bias": false,
  "model_type": "apertus",
  "num_attention_heads": 64,
  "num_hidden_layers": 80,
  "num_key_value_heads": 8,
  "pad_token_id": 3,
  "post_norm": false,
  "qk_norm": true,
  "quantization_config": {
    "config_groups": {
      "group_0": {
        "format": "pack-quantized",
        "input_activations": null,
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "actorder": "static",
          "block_structure": null,
          "dynamic": false,
          "group_size": 128,
          "num_bits": 4,
          "observer": "mse",
          "observer_kwargs": {},
          "strategy": "group",
          "symmetric": false,
          "type": "int"
        }
      }
    },
    "format": "pack-quantized",
    "global_compression_ratio": null,
    "ignore": [
      "lm_head"
    ],
    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed",
    "sparsity_config": {},
    "transform_config": {},
    "version": "0.11.0"
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
    "factor": 8.0,
    "high_freq_factor": 4.0,
    "low_freq_factor": 1.0,
    "original_max_position_embeddings": 8192,
    "rope_type": "llama3",
    "type": "llama3"
  },
  "rope_theta": 12000000,
  "tie_word_embeddings": false,
  "transformers_version": "4.56.1",
  "use_cache": false,
  "vocab_size": 131072
}