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run_id
stringclasses
6 values
model_id
stringclasses
4 values
baseline_quant_type
stringclasses
2 values
quantized_quant_type
stringclasses
4 values
family
stringclasses
8 values
runner_a
stringclasses
2 values
runner_b
stringclasses
2 values
paired_n
int64
200
200
both_pass
int64
69
200
both_fail
int64
0
117
runner_a_only_pass
int64
0
56
runner_b_only_pass
int64
0
39
disagreements
int64
0
56
disagreement_rate
float64
0
0.28
pass_rate_delta_runner_b_minus_runner_a
float64
-0.28
0.19
delta_ci_low
float64
-0.36
0.1
delta_ci_high
float64
-0.19
0.26
delta_ci_level
float64
0.95
0.95
delta_ci_method
stringclasses
1 value
mcnemar_p_value
float64
0
1
mcnemar_discordant_pairs
int64
0
56
mcnemar_alternative
stringclasses
1 value
discriminating
bool
2 classes
cluster_adjusted_method
stringclasses
1 value
cluster_adjusted_effective_paired_n
int64
167
200
cluster_adjusted_delta
float64
-0.28
0.19
cluster_adjusted_delta_ci_low
float64
-0.36
0.09
cluster_adjusted_delta_ci_high
float64
-0.19
0.27
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
json
full_weight_llama_cpp
quantized_llama_cpp
200
81
113
2
4
6
0.03
0.01
-0.034783
0.054293
0.95
paired_multinomial_bonferroni_wilson
0.6875
6
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.01
-0.034783
0.054293
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
json_multistep
full_weight_llama_cpp
quantized_llama_cpp
200
95
76
6
23
29
0.145
0.085
0.003014
0.16282
0.95
paired_multinomial_bonferroni_wilson
0.002316
29
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0.047904
-0.036963
0.129973
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
mcq
full_weight_llama_cpp
quantized_llama_cpp
200
167
14
17
2
19
0.095
-0.075
-0.137652
-0.008672
0.95
paired_multinomial_bonferroni_wilson
0.000729
19
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.075
-0.137652
-0.008672
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
mixed_brief_json
full_weight_llama_cpp
quantized_llama_cpp
200
144
0
56
0
56
0.28
-0.28
-0.355882
-0.190395
0.95
paired_multinomial_bonferroni_wilson
0
56
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.28
-0.355882
-0.190395
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
stateful_followup
full_weight_llama_cpp
quantized_llama_cpp
200
166
0
34
0
34
0.17
-0.17
-0.23744
-0.094228
0.95
paired_multinomial_bonferroni_wilson
0
34
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.17
-0.23744
-0.094228
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
toolcall
full_weight_llama_cpp
quantized_llama_cpp
200
147
0
39
14
53
0.265
-0.125
-0.225712
-0.018162
0.95
paired_multinomial_bonferroni_wilson
0.000802
53
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.125
-0.225712
-0.018162
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
toolcall_only
full_weight_llama_cpp
quantized_llama_cpp
200
157
0
43
0
43
0.215
-0.215
-0.286671
-0.132793
0.95
paired_multinomial_bonferroni_wilson
0
43
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.215
-0.286671
-0.132793
Mistral_Nemo_Instruct_2407_20260814_030505
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q4_k_m
fuzz
full_weight_llama_cpp
quantized_llama_cpp
200
103
92
2
3
5
0.025
0.005
-0.037223
0.046978
0.95
paired_multinomial_bonferroni_wilson
1
5
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.005
-0.037223
0.046978
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
json
full_weight_llama_cpp
quantized_llama_cpp
200
83
117
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
json_multistep
full_weight_llama_cpp
quantized_llama_cpp
200
101
98
0
1
1
0.005
0.005
-0.023777
0.033532
0.95
paired_multinomial_bonferroni_wilson
1
1
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0.005988
-0.028333
0.03996
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
mcq
full_weight_llama_cpp
quantized_llama_cpp
200
181
15
3
1
4
0.02
-0.01
-0.048591
0.029081
0.95
paired_multinomial_bonferroni_wilson
0.625
4
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.01
-0.048591
0.029081
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
mixed_brief_json
full_weight_llama_cpp
quantized_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
stateful_followup
full_weight_llama_cpp
quantized_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
toolcall
full_weight_llama_cpp
quantized_llama_cpp
200
184
14
2
0
2
0.01
-0.01
-0.041673
0.022163
0.95
paired_multinomial_bonferroni_wilson
0.5
2
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.01
-0.041673
0.022163
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
toolcall_only
full_weight_llama_cpp
quantized_llama_cpp
200
199
0
1
0
1
0.005
-0.005
-0.033532
0.023777
0.95
paired_multinomial_bonferroni_wilson
1
1
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.005
-0.033532
0.023777
Mistral_Nemo_Instruct_2407_20260815_113254
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q5_k_m
fuzz
full_weight_llama_cpp
quantized_llama_cpp
200
103
92
2
3
5
0.025
0.005
-0.037223
0.046978
0.95
paired_multinomial_bonferroni_wilson
1
5
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.005
-0.037223
0.046978
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
json
full_weight_llama_cpp
quantized_llama_cpp
200
83
117
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
json_multistep
full_weight_llama_cpp
quantized_llama_cpp
200
101
99
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0
-0.029205
0.029205
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
mcq
full_weight_llama_cpp
quantized_llama_cpp
200
183
15
1
1
2
0.01
0
-0.032804
0.032804
0.95
paired_multinomial_bonferroni_wilson
1
2
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.032804
0.032804
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
mixed_brief_json
full_weight_llama_cpp
quantized_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
stateful_followup
full_weight_llama_cpp
quantized_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
toolcall
full_weight_llama_cpp
quantized_llama_cpp
200
186
14
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
toolcall_only
full_weight_llama_cpp
quantized_llama_cpp
200
199
0
1
0
1
0.005
-0.005
-0.033532
0.023777
0.95
paired_multinomial_bonferroni_wilson
1
1
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.005
-0.033532
0.023777
Mistral_Nemo_Instruct_2407_20260816_084553
mistralai/Mistral-Nemo-Instruct-2407
gguf_f16
gguf_q8_0
fuzz
full_weight_llama_cpp
quantized_llama_cpp
200
104
93
1
2
3
0.015
0.005
-0.031191
0.040946
0.95
paired_multinomial_bonferroni_wilson
1
3
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.005
-0.031191
0.040946
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
json
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
98
71
16
15
31
0.155
-0.005
-0.0911
0.081345
0.95
paired_multinomial_bonferroni_wilson
1
31
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.005
-0.0911
0.081345
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
json_multistep
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
105
81
2
12
14
0.07
0.05
-0.009599
0.107148
0.95
paired_multinomial_bonferroni_wilson
0.012939
14
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0.05988
-0.011163
0.127426
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
mcq
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
162
4
32
2
34
0.17
-0.15
-0.22398
-0.068669
0.95
paired_multinomial_bonferroni_wilson
0
34
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.15
-0.22398
-0.068669
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
mixed_brief_json
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
147
39
9
5
14
0.07
-0.02
-0.080892
0.041872
0.95
paired_multinomial_bonferroni_wilson
0.42395
14
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.02
-0.080892
0.041872
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
stateful_followup
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
toolcall
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
190
2
0
8
8
0.04
0.04
-0.005912
0.083952
0.95
paired_multinomial_bonferroni_wilson
0.007813
8
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.04
-0.005912
0.083952
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
toolcall_only
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
175
19
1
5
6
0.03
0.02
-0.023962
0.062982
0.95
paired_multinomial_bonferroni_wilson
0.21875
6
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.02
-0.023962
0.062982
Qwen2.5_14B_Instruct_1M_20260815_220633
Qwen/Qwen2.5-14B-Instruct-1M
modal_f16
modal_q4_k_m
fuzz
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
121
53
6
20
26
0.13
0.07
-0.008769
0.145339
0.95
paired_multinomial_bonferroni_wilson
0.009355
26
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.07
-0.008769
0.145339
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
json
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
114
67
10
9
19
0.095
-0.005
-0.075044
0.065289
0.95
paired_multinomial_bonferroni_wilson
1
19
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.005
-0.075044
0.065289
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
json_multistep
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
109
69
11
11
22
0.11
0
-0.074632
0.074632
0.95
paired_multinomial_bonferroni_wilson
1
22
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0.011976
-0.069721
0.092973
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
mcq
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
mixed_brief_json
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
stateful_followup
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
200
0
0
0
0
0
0
-0.024504
0.024504
0.95
paired_multinomial_bonferroni_wilson
1
0
two-sided
false
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0
-0.024504
0.024504
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
toolcall
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
189
9
0
2
2
0.01
0.01
-0.022163
0.041673
0.95
paired_multinomial_bonferroni_wilson
0.5
2
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.01
-0.022163
0.041673
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
toolcall_only
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
197
2
1
0
1
0.005
-0.005
-0.033532
0.023777
0.95
paired_multinomial_bonferroni_wilson
1
1
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.005
-0.033532
0.023777
Qwen2.5_32B_Instruct_20260815_081051
Qwen/Qwen2.5-32B-Instruct
modal_f16
modal_q4_k_m
fuzz
full_weight_modal_llama_cpp
quantized_modal_llama_cpp
200
118
65
8
9
17
0.085
0.005
-0.062116
0.071871
0.95
paired_multinomial_bonferroni_wilson
1
17
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.005
-0.062116
0.071871
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
json
full_weight_llama_cpp
quantized_llama_cpp
200
72
111
13
4
17
0.085
-0.045
-0.108805
0.02101
0.95
paired_multinomial_bonferroni_wilson
0.049042
17
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.045
-0.108805
0.02101
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
json_multistep
full_weight_llama_cpp
quantized_llama_cpp
200
69
90
2
39
41
0.205
0.185
0.098332
0.262602
0.95
paired_multinomial_bonferroni_wilson
0
41
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
167
0.185629
0.088164
0.272251
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
mcq
full_weight_llama_cpp
quantized_llama_cpp
200
166
30
1
3
4
0.02
0.01
-0.029081
0.048591
0.95
paired_multinomial_bonferroni_wilson
0.625
4
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.01
-0.029081
0.048591
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
mixed_brief_json
full_weight_llama_cpp
quantized_llama_cpp
200
185
0
15
0
15
0.075
-0.075
-0.12794
-0.018385
0.95
paired_multinomial_bonferroni_wilson
0.000061
15
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.075
-0.12794
-0.018385
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
stateful_followup
full_weight_llama_cpp
quantized_llama_cpp
200
150
26
0
24
24
0.12
0.12
0.053094
0.181025
0.95
paired_multinomial_bonferroni_wilson
0
24
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.12
0.053094
0.181025
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
toolcall
full_weight_llama_cpp
quantized_llama_cpp
200
128
41
14
17
31
0.155
0.015
-0.071498
0.100763
0.95
paired_multinomial_bonferroni_wilson
0.7201
31
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.015
-0.071498
0.100763
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
toolcall_only
full_weight_llama_cpp
quantized_llama_cpp
200
160
35
1
4
5
0.025
0.015
-0.026642
0.055907
0.95
paired_multinomial_bonferroni_wilson
0.375
5
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
0.015
-0.026642
0.055907
Qwen2.5_7B_Instruct_20260814_234822
Qwen/Qwen2.5-7B-Instruct
gguf_f16
gguf_q4_k_m
fuzz
full_weight_llama_cpp
quantized_llama_cpp
200
93
88
11
8
19
0.095
-0.015
-0.084629
0.055364
0.95
paired_multinomial_bonferroni_wilson
0.647606
19
two-sided
true
semantic-template clusters; mixed-direction clusters conservatively count as baseline-only pass
200
-0.015
-0.084629
0.055364

quant_eval — Paired degradation statistics

One row per run per task family: the paired pass-rate difference with a 95% confidence interval, the two-sided exact McNemar test, the full discordance breakdown, and a semantic-cluster-adjusted delta and interval.

Part of the quant_eval public corpus: a per-case behavioral evaluation of full-weight and quantized large language models across eight agent-relevant task families, with paired statistical testing.

Cite this dataset: 10.5281/zenodo.22010557 — concept DOI, always resolves to the latest version. This exact deposit: 10.5281/zenodo.22010558 — version DOI, frozen. Cite this one where reported numbers must stay verifiable against the object referenced.

What this file contains

File Rows Columns
quant_eval_paired_degradation_statistics.csv 48 28

Supporting files: source_bundle_checksums.json.

Corpus scope

Run Model Baseline Quantized Substrate Licence
Mistral_Nemo_Instruct_2407_20260814_030505 mistralai/Mistral-Nemo-Instruct-2407 gguf_f16 gguf_q4_k_m local Apache-2.0
Mistral_Nemo_Instruct_2407_20260815_113254 mistralai/Mistral-Nemo-Instruct-2407 gguf_f16 gguf_q5_k_m local Apache-2.0
Mistral_Nemo_Instruct_2407_20260816_084553 mistralai/Mistral-Nemo-Instruct-2407 gguf_f16 gguf_q8_0 local Apache-2.0
Qwen2.5_14B_Instruct_1M_20260815_220633 Qwen/Qwen2.5-14B-Instruct-1M modal_f16 modal_q4_k_m Modal Apache-2.0
Qwen2.5_32B_Instruct_20260815_081051 Qwen/Qwen2.5-32B-Instruct modal_f16 modal_q4_k_m Modal Apache-2.0
Qwen2.5_7B_Instruct_20260814_234822 Qwen/Qwen2.5-7B-Instruct gguf_f16 gguf_q4_k_m local Apache-2.0

Every run evaluates a full-weight baseline and a quantized variant of the same model against the identical locked fixture set, case for case. Statistical comparison is paired: the two-sided exact McNemar test on per-case outcomes, with Wilson intervals on the rates.

Figures

Dot-and-whisker plot of paired pass-rate differences for Mistral-Nemo-Instruct-2407 across eight agent task families at three quantization precisions. Q4_K_M shows large negative differences in six families; Q5_K_M and Q8_0 cluster at zero with no significant differences.

Paired pass-rate difference (quantized minus full weight) with 95% confidence intervals, Mistral-Nemo-Instruct-2407, n = 200 paired cases per family. Solid markers indicate two-sided exact McNemar p < 0.05. Families significant: Q4_K_M 6 of 8; Q5_K_M 0 of 8; Q8_0 0 of 8. The shape is a discontinuity, not a gradient.

Dot-and-whisker plot of paired pass-rate differences at Q4_K_M for three Qwen2.5 models at 7B, 14B-1M, and 32B parameters across eight agent task families. The 7B and 14B-1M models each show four significant differences; the 32B model shows none.

Paired pass-rate difference at Q4_K_M versus each model's own F16 baseline, n = 200 paired cases per family. Solid markers indicate McNemar p < 0.05. CONFOUNDED: 7B ran on local llama.cpp with a fixed seed; 14B-1M and 32B ran on Modal, which records seed status unsupported. Scale and substrate are not separated by this corpus, and this figure must not be read as a clean parameter-scale effect.

Figures are generated directly from the harness rollups by the published build tooling; no plotted value is recomputed, smoothed, or fitted.

Columns

quant_eval_paired_degradation_statistics.csv

  run_id                                        model_id                                      baseline_quant_type
  quantized_quant_type                          family                                        runner_a
  runner_b                                      paired_n                                      both_pass
  both_fail                                     runner_a_only_pass                            runner_b_only_pass
  disagreements                                 disagreement_rate                             pass_rate_delta_runner_b_minus_runner_a
  delta_ci_low                                  delta_ci_high                                 delta_ci_level
  delta_ci_method                               mcnemar_p_value                               mcnemar_discordant_pairs
  mcnemar_alternative                           discriminating                                cluster_adjusted_method
  cluster_adjusted_effective_paired_n           cluster_adjusted_delta                        cluster_adjusted_delta_ci_low
  cluster_adjusted_delta_ci_high

Verification

This corpus is derived from sanitized publication bundles produced by the quant_eval harness. It is designed to be checked rather than trusted:

  • source_bundle_checksums.json, included here, republishes, verbatim, the SHA-256 digest and byte length of every file in every source bundle. No source file was modified.
  • Before this file was written, the builder verified all 72 source-file digests and independently recomputed all 96 family x runner pass rates from the raw per-case rows, matching the harness rollups exactly.
  • Every row in this file is recomputable from the per-case results dataset (D1) using the gate definitions in data_dictionary.json, published with the per-case results dataset (D1) and the throughput telemetry dataset (D2). The pass counts, rates, and full discordance breakdown follow directly from the per-case outcomes; no intermediate artifact is required.

Limits you should know before using this

  • Decoding conditions are not uniform across models. Temperature follows each publisher's own model card, so cross-model comparison of absolute pass rates is confounded. Within-run pairing is unaffected, which is what the paired test requires. The conditions are published per row and per run so they can be filtered on.
  • Runs on the Modal substrate record seed status unsupported — the deployed method signature accepts no seed — so those runs are not exactly reproducible. Local runs applied a fixed seed.
  • Runtime figures are observed harness wall time on the recorded hardware and backends. They are not a controlled throughput benchmark and not a general claim about quantization performance at any precision on any hardware. Direction is published as an explicit label because not every measured pair is a speedup.
  • The fuzz family is an adaptive trajectory evaluated from identical starting fixtures. Its paired test compares complete case outcomes, not identical post-divergence prompts.
  • Calibration runs are not published. Runs that informed a published run are disclosed by identifier in calibration_lineage.csv, published in the run provenance dataset (D4), so the record is complete without releasing provisional numbers.

Citation

@dataset{pbh_quant_eval_d5,
  author    = {Hill, Patrick},
  title     = {quant_eval Paired degradation statistics},
  publisher = {PBH Applied Systems, LLC},
  year      = {2026},
  doi       = {10.5281/zenodo.22010557},
  note      = {Version DOI: 10.5281/zenodo.22010558},
  license   = {CC-BY-4.0}
}

Licence

Creative Commons Attribution 4.0 International (CC BY 4.0). See LICENSE. Commercial use is permitted; attribution is required.

This corpus describes third-party models and redistributes no model weights. Each evaluated model remains under its own licence, recorded per run in the run provenance dataset.


Produced by build_datasets.py 2.4.0 from quant_eval publication bundles. Built 2026-08-19.

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