Text Classification
PEFT
Safetensors
English
Japanese
d1a
decision-model
calibration
lora
gemma4
typesafe
system-one
pull-requests
chat
on-device
Instructions to use JohnP1/d1a-e4b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JohnP1/d1a-e4b-it with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "JohnP1/d1a-e4b-it") - Notebooks
- Google Colab
- Kaggle
File size: 2,090 Bytes
2a87cbb | 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 | {
"model": "D1A-E4B-it v0.6",
"temperature": 1.551,
"method": "Every D1A suite (scripts/quality_gate.py --all-suites --sequential, then scripts/decide.py) on a Mac mini M4, 2026-10-17, against D1A-E2B-it v0.6, both as served: MLX 8-bit unmerged chat builds with media, each at its own temperature. Paired bootstrap 95% intervals. Live PR-labeler replay and hand-labelled PRs are private; aggregates only.",
"suites": {
"decision-v7": [
1264,
84.8,
85.7,
"+0.9 [-0.7,+2.5]"
],
"transfer-v4": [
656,
75.0,
77.4,
"+2.4 [-0.9,+5.9]"
],
"hard-v1": [
1083,
69.2,
75.7,
"+6.6 [+4.0,+9.2]"
],
"devtools-v1": [
1074,
71.1,
74.3,
"+3.2 [+0.9,+5.4]"
],
"documents-v1": [
920,
86.3,
88.6,
"+2.3 [+0.5,+4.2]"
],
"ja-jglue:development": [
1500,
78.6,
80.8,
"+2.2 [+0.5,+4.0]"
],
"ja-jglue:test": [
1500,
76.4,
78.6,
"+2.2 [+0.3,+4.1]"
],
"pr-labels:test": [
2045,
77.4,
79.1,
"+1.8 [+0.5,+3.1]"
],
"pr-labels:test sev+offsets": [
953,
64.3,
69.5,
"+5.1 [+3.0,+7.3]"
],
"pr-labels:development": [
2030,
78.8,
79.6,
"+0.8 [-0.4,+2.1]"
],
"pr-labels:test-ja": [
193,
74.6,
77.7,
"+3.1 [-1.0,+7.2]"
],
"routing:factory-development": [
640,
92.3,
93.6,
"+1.2 [-0.7,+3.2]"
],
"routing:generic-development": [
270,
97.0,
97.4,
"+0.4 [-1.5,+2.2]"
],
"external:typesafe-v1": [
102,
69.6,
86.3,
"+16.7 [+8.8,+25.2]"
],
"external:wanli-v2": [
1002,
68.9,
72.7,
"+3.8 [+1.4,+6.2]"
],
"night2:dates": [
900,
87.0,
90.8,
"+3.8 [+1.7,+5.8]"
],
"night2:unknowable": [
525,
69.5,
66.7,
"-2.9 [-5.5,-0.2]"
]
},
"columns": [
"n",
"E2B-it v0.6 accuracy %",
"E4B-it v0.6 accuracy %",
"delta [95% CI]"
],
"pooled_delta": "+2.5 [+1.7, +3.4] over 21 suite lines and 2 live",
"latency_ratio_vs_e2b_it": 2.94,
"media": "14 photo/voice/video demo requests, 28 answers, all answered; 7 differ from E2B-it, 6 better and 1 worse by hand read"
} |