File size: 3,685 Bytes
cf9609e
 
 
 
9201b3f
 
 
 
 
cf9609e
9201b3f
 
 
 
cf9609e
 
 
 
9201b3f
 
 
 
 
 
 
 
 
 
 
cf9609e
 
 
 
 
 
 
 
 
 
 
9201b3f
 
 
cf9609e
9201b3f
 
 
 
 
 
 
cf9609e
 
9201b3f
cf9609e
 
9201b3f
cf9609e
9201b3f
cf9609e
 
9201b3f
 
cf9609e
 
 
9201b3f
cf9609e
 
9201b3f
cf9609e
 
 
 
9201b3f
 
cf9609e
9201b3f
cf9609e
9201b3f
 
 
 
cf9609e
 
 
 
 
 
 
9201b3f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cf9609e
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
{
  "architecture": "gemma4",
  "gguf": {
    "comparison_to_hf_bf16": {
      "decode_logits": {
        "max_absolute_error": 0.317632794380188,
        "mean_absolute_error": 0.09652481973171234,
        "top1_agreement": false,
        "top5_overlap": 1
      },
      "policy": "informational; mixed K-quant and BF16 executions are not required to be identical",
      "prefill_last_logits": {
        "max_absolute_error": 0.25260016322135925,
        "mean_absolute_error": 0.07460260391235352,
        "top1_agreement": true,
        "top5_overlap": 3
      }
    },
    "converter_command": [
      "PYTHON",
      "CONVERTER",
      "HF_FOR_CONVERTER",
      "--outfile",
      "F32_OUTPUT",
      "--outtype",
      "f32",
      "--model-name",
      "Gemma 4 Random Model"
    ],
    "direct_token_validation": {
      "all_logits_finite": true,
      "decode_token_id": 17,
      "eog_token_ids": [
        1
      ],
      "prefill_token_ids": [
        5,
        7,
        11,
        13
      ],
      "repeated_output_byte_identical": true,
      "status": "passed"
    },
    "f32_intermediate_retained_in_package": false,
    "f32_intermediate_sha256": "67b5f94511c78c951619397ea719f1fb0de81bafacc01b00690d507fb677b57a",
    "llama_cpp_commit": "0b1bad14ff204627636aeb1de22ddcd5acb859d4",
    "llama_cpp_profile": "Q4_K_M alias",
    "model_sha256": "3ce6309aa4221289441b198ab63cd6c0d03075ba183ea1990001313c99d6e845",
    "model_size_bytes": 3591488,
    "pure": false,
    "quantizer_command": [
      "LLAMA_QUANTIZE",
      "OVERRIDE_SOURCE_LIKE_METADATA",
      "F32_INPUT",
      "OUTPUT",
      "Q4_K"
    ],
    "requested_quantization": "Q4_K",
    "tensor_type_histogram": {
      "F32": 44,
      "Q4_K": 37,
      "Q6_K": 5
    }
  },
  "hf": {
    "config_sha256": "571a499253eb22afcc050ee3428fdc56dcc23a38cfc66248a911bc2b51df93bb",
    "construct_prefill_decode_reload": "passed",
    "dtype": "bfloat16",
    "model_sha256": "e97de7f7fcad67f15547487a4b44fa8b6066ad8cd49b2c0d4b1230e3cf615ad3",
    "reload_tolerance": {
      "atol": 0.02,
      "rtol": 0.02
    },
    "tokenizer_json_sha256": "5497f30f2a945c00a2d2cbe8b2f37a8a7c27a596fa01f59c61eef3a55bdf4a4c",
    "transformers_version": "5.15.0"
  },
  "parameter_count": 6036608,
  "reproducibility": {
    "gguf_q4_k_byte_identical": true,
    "hf_config_byte_identical": true,
    "hf_model_byte_identical": true,
    "native_repeated_output_byte_identical": true
  },
  "rng": {
    "increment": 1442695040888963407,
    "multiplier": 6364136223846793005,
    "name": "tlfloat LCG64 equation",
    "warmup_steps": 10
  },
  "schema_version": 2,
  "seed": 5135595944287666177,
  "source_gguf": {
    "architecture": "gemma4",
    "intentionally_changed_or_omitted": {
      "geometry": "reduced while preserving ratios and one full schedule",
      "identity": "random-model identity replaces upstream model identity",
      "tokenizer.chat_template": "omitted because the 128-token synthetic vocabulary lacks its control tokens",
      "tokenizer.ggml.suppress_tokens": "omitted because source IDs 258882 and 258883 are outside the reduced vocabulary"
    },
    "metadata_field_count": 45,
    "path": "/home/codex/llm_models/gguf/gemma-4-12B-it-GGUF/gemma-4-12B-it-Q4_K_M.gguf",
    "preserved_metadata": [
      "sampling defaults",
      "six-layer attention schedule",
      "RoPE regimes",
      "RMS epsilon",
      "final logit softcap",
      "tokenizer model and special IDs",
      "add BOS",
      "no added space prefix",
      "quantization version"
    ],
    "tensor_count": 667,
    "tensor_type_histogram": {
      "F32": 338,
      "Q4_K": 284,
      "Q6_K": 45
    }
  }
}