random_models / tinyllama-chat /gguf /metadata.json
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{
"commands": {
"convert": [
"PYTHON",
"LLAMA_CPP/convert_hf_to_gguf.py",
"STAGING",
"--outfile",
"INTERMEDIATE",
"--outtype",
"f16"
],
"quantize": [
"LLAMA_QUANTIZE",
"--output-tensor-type",
"f16",
"--token-embedding-type",
"f16",
"INTERMEDIATE",
"OUTPUT",
"Q4_K_M"
]
},
"comparison_to_f32_reference": {
"decode": {
"max_abs_error": 0.018586717545986176,
"mean_abs_error": 0.0051025515422225,
"top1_agreement": true,
"top5_overlap": 5
},
"prefill": {
"max_abs_error": 0.018388288095593452,
"mean_abs_error": 0.005240461323410273,
"top1_agreement": true,
"top5_overlap": 5
}
},
"converter": "convert_hf_to_gguf.py",
"converter_log_sha256": "fec19a1b3b32605db5cef200ba9dc92dfef5b270ceb1b95c248405d39e796d8f",
"direct_token_validation": {
"all_logits_finite": true,
"decode_token_id": 13,
"exactly_reproducible": true,
"prefill_token_ids": [
3,
5,
7,
11
]
},
"effective_eog_token_ids": [
2
],
"eog_validation_range": [
0,
127
],
"format": "GGUF",
"intermediate_f16_sha256": "b5746e6b4f3d1872747c64f387ad4968dfcba1577c02943b65096f8454fae183",
"intermediate_retained": false,
"llama_cpp_revision": "40b740ad05c531b9d57aca6698c3ed553a9e784c",
"model_sha256": "32bfddeebc736370580c83983cf01380a157c215600a5f1faef2bbb2ffdf9bed",
"model_size_bytes": 260160,
"notes": "Q4_K_M is lossy; numerical differences are recorded as observations, not pass thresholds.",
"quantization_requested": "Q4_K_M",
"quantizer": "llama-quantize",
"quantizer_fallback_observed": true,
"quantizer_log_sha256": "c2253269ecb1f5bb3f7b6550af7c26acf5513b22f279a199aba96b08e2b97c04",
"schema_version": 1,
"source_auxiliary_tokenizer_sha256": "517673e2ef9f9b9a667d03914009d1cec25514c1d8a1f8e0eded4d9f44eab94d",
"source_package_model_sha256": "36002fc8be09f37f051cf7fad569658f8f166d0c95cf134f42ba8a59e85f1e95",
"staging_special_token_normalization": {
"applied": false,
"gguf_primary_eos_token_id": 2,
"reason": "GGUF exposes one primary EOS metadata field; all source EOS IDs remain documented by tokenizer metadata.",
"source_eos_token_id": 2
},
"tensor_type_histogram": {
"F16": 2,
"F32": 5,
"Q4_K": 1,
"Q5_0": 11,
"Q6_K": 1,
"Q8_0": 1
},
"tiny_dimension_tensor_overrides": {
"output.weight": "F16",
"reason": "These tensors can be too narrow for the Q8_0 types selected by the Q4_K_M mixture.",
"token_embd.weight": "F16"
},
"tokenizer_smoke": {
"hf_native_ids_equal": true,
"text": "a",
"token_ids": [
126,
124
]
}
}