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quantgap
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2026-11-10 16:40:59
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quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q5_k_m.gguf", "sha256": "041474553fcabfc2a2d67903f9d2c2e50bd92528e670da4f33b5d0ce6e59fd55", "size_bytes": 522186592, "label": "Q5_K_M", "publisher": "Qwen", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.049821607, "kld_mean_ci95": [ 0.0450711375, 0.0550888719 ], "kld_p99": 0.546000163, "kld_p999": 2.00701812, "top1_agree": 0.887948095, "ppl_ratio": 1.0567666, "n_positions": 49013, "n_sequences": 160, "clamp_count": 409, "by_group": { "general": { "kld_mean": 0.03...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:18:37
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q8_0.gguf", "sha256": "25130a98aa782284a7dabea0c23245b2fd371ed47244e79d78b8ec23245fdf96", "size_bytes": 531068480, "label": "Q8_0", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.00245096896, "kld_mean_ci95": [ 0.00229281019, 0.00264573992 ], "kld_p99": 0.0210772799, "kld_p999": 0.102631806, "top1_agree": 0.971415747, "ppl_ratio": 1.00300199, "n_positions": 49013, "n_sequences": 160, "clamp_count": 146, "by_group": { "general": { "kld_mean...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:40:59
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-IQ2_M.gguf", "sha256": "2fc237e65e1f963310e9c961d8e71e932734a72f90e3216a972d83edd1feb756", "size_bytes": 328597408, "label": "IQ2_M", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.260422255, "kld_mean_ci95": [ 0.240413935, 0.282929708 ], "kld_p99": 2.45285968, "kld_p999": 7.01211546, "top1_agree": 0.748760533, "ppl_ratio": 1.30964286, "n_positions": 49013, "n_sequences": 160, "clamp_count": 56, "by_group": { "general": { "kld_mean": 0.17858...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:12:13
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q6_K.gguf", "sha256": "32c14c29a44712c02e29d5c2605593ece92ccb7a4358f56016a42b151434c842", "size_bytes": 505736768, "label": "Q6_K", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.00426384181, "kld_mean_ci95": [ 0.00390712411, 0.00468368717 ], "kld_p99": 0.0391776359, "kld_p999": 0.194304242, "top1_agree": 0.965560158, "ppl_ratio": 1.00346666, "n_positions": 49013, "n_sequences": 160, "clamp_count": 155, "by_group": { "general": { "kld_mean...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:46:18
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q3_k_m.gguf", "sha256": "590d2479d401db206fe12a4562294d2de6211e06338a6e34fbad64b32f1469d0", "size_bytes": 432041824, "label": "Q3_K_M", "publisher": "Qwen", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.110923128, "kld_mean_ci95": [ 0.10022483, 0.12346817 ], "kld_p99": 1.32324588, "kld_p999": 4.29259683, "top1_agree": 0.839287536, "ppl_ratio": 1.11543555, "n_positions": 49013, "n_sequences": 160, "clamp_count": 272, "by_group": { "general": { "kld_mean": 0.068491...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:24:56
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q4_K_M.gguf", "sha256": "6eb923e7d26e9cea28811e1a8e852009b21242fb157b26149d3b188f3a8c8653", "size_bytes": 397808192, "label": "Q4_K_M", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0337049785, "kld_mean_ci95": [ 0.0302644034, 0.0381657008 ], "kld_p99": 0.324571109, "kld_p999": 2.09554025, "top1_agree": 0.906024932, "ppl_ratio": 1.03452879, "n_positions": 49013, "n_sequences": 160, "clamp_count": 230, "by_group": { "general": { "kld_mean": 0....
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:53:23
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q4_k_m.gguf", "sha256": "74a4da8c9fdbcd15bd1f6d01d621410d31c6fc00986f5eb687824e7b93d7a9db", "size_bytes": 491400032, "label": "Q4_K_M", "publisher": "Qwen", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0647097397, "kld_mean_ci95": [ 0.058684199, 0.0716452902 ], "kld_p99": 0.69131096, "kld_p999": 2.63479355, "top1_agree": 0.871564687, "ppl_ratio": 1.06642437, "n_positions": 49013, "n_sequences": 160, "clamp_count": 265, "by_group": { "general": { "kld_mean": 0.03...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:21:49
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q4_K_S.gguf", "sha256": "988083e5e5f2b6060d32f349b7e2d9e253f352e9cd3ead40fab6889041654249", "size_bytes": 385472064, "label": "Q4_K_S", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0428985239, "kld_mean_ci95": [ 0.0384348177, 0.048527248 ], "kld_p99": 0.45292322, "kld_p999": 2.18027833, "top1_agree": 0.893334421, "ppl_ratio": 1.04180238, "n_positions": 49013, "n_sequences": 160, "clamp_count": 218, "by_group": { "general": { "kld_mean": 0.02...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:56:34
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q2_k.gguf", "sha256": "9ee36184e616dfc76df4f5dd66f908dbde6979524ae36e6cefb67f532f798cb8", "size_bytes": 415182688, "label": "Q2_K", "publisher": "Qwen", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.17612144, "kld_mean_ci95": [ 0.160508125, 0.195364964 ], "kld_p99": 1.95846187, "kld_p999": 5.60420546, "top1_agree": 0.795442026, "ppl_ratio": 1.21363306, "n_positions": 49013, "n_sequences": 160, "clamp_count": 453, "by_group": { "general": { "kld_mean": 0.11375...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:28:01
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q5_K_M.gguf", "sha256": "a0a413dcbb4676f21d4c951b98a393324694edb1a20a4f9547d1de8d2919ff3b", "size_bytes": 420086336, "label": "Q5_K_M", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0228555783, "kld_mean_ci95": [ 0.0204711711, 0.025780802 ], "kld_p99": 0.248786302, "kld_p999": 1.23637749, "top1_agree": 0.922714382, "ppl_ratio": 1.0234416, "n_positions": 49013, "n_sequences": 160, "clamp_count": 158, "by_group": { "general": { "kld_mean": 0.01...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:49:21
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-IQ3_XS.gguf", "sha256": "c010afa79cb0607545b5b1f2af7e0a3a0311b28d33dadd92a9895f383f51a8e0", "size_bytes": 338607520, "label": "IQ3_XS", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.125848106, "kld_mean_ci95": [ 0.114042531, 0.139869253 ], "kld_p99": 1.39825481, "kld_p999": 4.25755276, "top1_agree": 0.825944137, "ppl_ratio": 1.13206197, "n_positions": 49013, "n_sequences": 160, "clamp_count": 232, "by_group": { "general": { "kld_mean": 0.0778...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:06:01
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q2_K.gguf", "sha256": "c929ba8be98f584d0872923e373bda0da8a261eae05dd362590c9792adfc76d2", "size_bytes": 338607520, "label": "Q2_K", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.170606999, "kld_mean_ci95": [ 0.156145844, 0.187217442 ], "kld_p99": 1.83114978, "kld_p999": 5.15307798, "top1_agree": 0.79562565, "ppl_ratio": 1.19665409, "n_positions": 49013, "n_sequences": 160, "clamp_count": 118, "by_group": { "general": { "kld_mean": 0.11423...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:09:07
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://Qwen/Qwen2.5-0.5B-Instruct-GGUF/qwen2.5-0.5b-instruct-q8_0.gguf", "sha256": "ca59ca7f13d0e15a8cfa77bd17e65d24f6844b554a7b6c12e07a5f89ff76844e", "size_bytes": 675710816, "label": "Q8_0", "publisher": "Qwen", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0275076749, "kld_mean_ci95": [ 0.0250861024, 0.0304117053 ], "kld_p99": 0.284358952, "kld_p999": 1.07268434, "top1_agree": 0.914430865, "ppl_ratio": 1.03524115, "n_positions": 49013, "n_sequences": 160, "clamp_count": 343, "by_group": { "general": { "kld_mean": 0....
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:15:27
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-IQ4_XS.gguf", "sha256": "df178ccd68e24ce0c74f957765c00e8f5eec5c51216a1acd4444202e58df6cc1", "size_bytes": 349402688, "label": "IQ4_XS", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0837101618, "kld_mean_ci95": [ 0.0747650223, 0.0943459502 ], "kld_p99": 1.029425, "kld_p999": 3.92764341, "top1_agree": 0.860261563, "ppl_ratio": 1.07621704, "n_positions": 49013, "n_sequences": 160, "clamp_count": 358, "by_group": { "general": { "kld_mean": 0.051...
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T16:59:41
false
false
false
[]
quantgap.result/1
f499c4436fa8e370
Qwen2.5-0.5B-Instruct@f499c4436fa8e370
{ "source": "hf://bartowski/Qwen2.5-0.5B-Instruct-GGUF/Qwen2.5-0.5B-Instruct-Q3_K_M.gguf", "sha256": "e14591771b0a3070c50ff11ee6055ffbb25f0bf50b6f9474ec4a16ff4ace8df6", "size_bytes": 355466656, "label": "Q3_K_M", "publisher": "bartowski", "format": "gguf" }
{ "name": "llamacpp", "version": "llama-cpp-python 0.3.36", "settings": { "ctx": 2048, "n_gpu_layers": -1 } }
{ "kld_mean": 0.0723903662, "kld_mean_ci95": [ 0.0648469014, 0.0815494031 ], "kld_p99": 0.848259172, "kld_p999": 3.34207899, "top1_agree": 0.865260237, "ppl_ratio": 1.07151351, "n_positions": 49013, "n_sequences": 160, "clamp_count": 201, "by_group": { "general": { "kld_mean": 0....
Tesla T4 / CUDA (Linux)
0.1.1
2026-11-10T17:02:50
false
false
false
[]

quantgap results

Measured drift of quantized models from their original, made with quantgap. Each file is results/<pack_id>/<quant file sha256>.json. Add yours with quantgap submit, which opens a pull request here. Results are CC BY 4.0.

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