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Kimi-K2-Thinking-FP8-Block

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Kimi-K2-Thinking-FP8-Block
File size: 2,980 Bytes 
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{
  "_attn_implementation_autoset": false,
  "architectures": [
    "DeepseekV3ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "auto_map": {
    "AutoConfig": "configuration_deepseek.DeepseekV3Config",
    "AutoModel": "modeling_deepseek.DeepseekV3Model",
    "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"
  },
  "aux_loss_alpha": 0.001,
  "bos_token_id": 163584,
  "dtype": "bfloat16",
  "eos_token_id": 163586,
  "ep_size": 1,
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  "max_position_embeddings": 262144,
  "model_type": "deepseek_v3",
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  "moe_layer_freq": 1,
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  "n_routed_experts": 384,
  "n_shared_experts": 1,
  "norm_topk_prob": true,
  "num_attention_heads": 64,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 61,
  "num_key_value_heads": 64,
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  "pad_token_id": 163839,
  "pretraining_tp": 1,
  "q_lora_rank": 1536,
  "qk_nope_head_dim": 128,
  "qk_rope_head_dim": 64,
  "quantization_config": {
    "config_groups": {
      "FP8_BLOCK": {
        "format": "float-quantized",
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          "dynamic": true,
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          "symmetric": true,
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        "targets": [
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        "weights": {
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          "block_structure": [
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            128
          ],
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
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      }
    },
    "format": "float-quantized",
    "global_compression_ratio": null,
    "ignore": [
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      "lm_head",
      "re:.*kv_a_proj_with_mqa$",
      "re:.*q_a_proj$",
      "model.embed_tokens"
    ],
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    "quant_method": "compressed-tensors",
    "quantization_status": "compressed",
    "sparsity_config": {},
    "transform_config": {},
    "version": "0.12.3.a20251030"
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": {
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    "factor": 64.0,
    "mscale": 1.0,
    "mscale_all_dim": 1.0,
    "original_max_position_embeddings": 4096,
    "type": "yarn"
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  "rope_theta": 50000.0,
  "routed_scaling_factor": 2.827,
  "scoring_func": "sigmoid",
  "seq_aux": true,
  "tie_word_embeddings": false,
  "topk_group": 1,
  "topk_method": "noaux_tc",
  "transformers_version": "4.57.1",
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  "v_head_dim": 128,
  "vocab_size": 163840
}