Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
obliteratus
abliterated
uncensored
multimodal
bfloat16
refusal-reduction
Instructions to use KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS") model = AutoModelForMultimodalLM.from_pretrained("KridgeDookie/Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Gemma-4-E4B-IT-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASS / evals /matched_public_capability_lm_eval_0_4_12.json
| { | |
| "protocol": { | |
| "backend": "hf-multimodal", | |
| "batch_size": 8, | |
| "chat_template": false, | |
| "dtype": "bfloat16", | |
| "fewshot": { | |
| "gsm8k": 5, | |
| "hellaswag": 0, | |
| "mmlu": 0, | |
| "truthfulqa_mc2": 0, | |
| "winogrande": 0 | |
| }, | |
| "harness": { | |
| "name": "lm-evaluation-harness", | |
| "raw_result_git_hash": { | |
| "candidate": "8eebb67", | |
| "note": "This per-result field is derived from the launch working directory, not the installed evaluator package. The upstream value is unavailable and is not inferred.", | |
| "untouched_upstream": null, | |
| "used_for_protocol_matching": false | |
| }, | |
| "version": "0.4.12" | |
| }, | |
| "limit": null, | |
| "seeds": { | |
| "fewshot_seed": 1234, | |
| "numpy_seed": 1234, | |
| "random_seed": 0, | |
| "torch_seed": 1234 | |
| }, | |
| "system_instruction": false, | |
| "task_versions": { | |
| "gsm8k": 3.0, | |
| "hellaswag": 1.0, | |
| "mmlu": "2", | |
| "truthfulqa_mc2": 3.0, | |
| "winogrande": 1.0 | |
| }, | |
| "transformers_version": "5.14.1" | |
| }, | |
| "schema_version": 1, | |
| "scope": "matched_public_capability_evaluation", | |
| "sources": { | |
| "candidate_result_sha256": "f963936d03b9cf28d511e7be5e07b9b9af5d9b0be0465ab07bbc24acdaaad512", | |
| "untouched_upstream_result_sha256": "28168fcb1a6105c32fffba5b9d5cd6250b45fbd2da8b89b864be0dcfef944ede" | |
| }, | |
| "tasks": { | |
| "gsm8k": { | |
| "interpretation": "Generated-answer exact match with strict extraction is primary; flexible extraction is secondary. Higher is better.", | |
| "metrics": { | |
| "exact_match,flexible-extract": { | |
| "candidate": { | |
| "stderr": 0.01291940810865643, | |
| "value": 0.6732373009855952 | |
| }, | |
| "delta_candidate_minus_upstream": -0.0037907505686125553, | |
| "role": "secondary", | |
| "untouched_upstream": { | |
| "stderr": 0.012880360794851822, | |
| "value": 0.6770280515542078 | |
| } | |
| }, | |
| "exact_match,strict-match": { | |
| "candidate": { | |
| "stderr": 0.012714401009923647, | |
| "value": 0.6921910538286581 | |
| }, | |
| "delta_candidate_minus_upstream": -0.0007581501137224889, | |
| "role": "primary", | |
| "untouched_upstream": { | |
| "stderr": 0.012705685723131698, | |
| "value": 0.6929492039423806 | |
| } | |
| } | |
| }, | |
| "sample_count": 1319 | |
| }, | |
| "hellaswag": { | |
| "interpretation": "Length-normalized multiple-choice accuracy is primary; raw accuracy is secondary. Higher is better.", | |
| "metrics": { | |
| "acc,none": { | |
| "candidate": { | |
| "stderr": 0.00458670271601444, | |
| "value": 0.3031268671579367 | |
| }, | |
| "delta_candidate_minus_upstream": 0.00019916351324439363, | |
| "role": "secondary", | |
| "untouched_upstream": { | |
| "stderr": 0.004585850835623589, | |
| "value": 0.3029277036446923 | |
| } | |
| }, | |
| "acc_norm,none": { | |
| "candidate": { | |
| "stderr": 0.004760354191370993, | |
| "value": 0.35012945628360886 | |
| }, | |
| "delta_candidate_minus_upstream": 0.0004979087831109563, | |
| "role": "primary", | |
| "untouched_upstream": { | |
| "stderr": 0.004758790172436568, | |
| "value": 0.3496315475004979 | |
| } | |
| } | |
| }, | |
| "sample_count": 10042 | |
| }, | |
| "mmlu": { | |
| "interpretation": "Accuracy over all MMLU subjects; higher is better.", | |
| "metrics": { | |
| "acc,none": { | |
| "candidate": { | |
| "stderr": 0.004086530540962004, | |
| "value": 0.40542657741062527 | |
| }, | |
| "delta_candidate_minus_upstream": -0.0030622418458908784, | |
| "role": "primary", | |
| "untouched_upstream": { | |
| "stderr": 0.004092076960230109, | |
| "value": 0.40848881925651614 | |
| } | |
| } | |
| }, | |
| "sample_count": 14042 | |
| }, | |
| "truthfulqa_mc2": { | |
| "interpretation": "Mean normalized probability mass assigned to true answer options; higher is better.", | |
| "metrics": { | |
| "acc,none": { | |
| "candidate": { | |
| "stderr": 0.01657668864641618, | |
| "value": 0.46375219954067515 | |
| }, | |
| "delta_candidate_minus_upstream": -0.01264179784361441, | |
| "role": "primary", | |
| "untouched_upstream": { | |
| "stderr": 0.016538783742581047, | |
| "value": 0.47639399738428956 | |
| } | |
| } | |
| }, | |
| "sample_count": 817 | |
| }, | |
| "winogrande": { | |
| "interpretation": "Multiple-choice accuracy; higher is better.", | |
| "metrics": { | |
| "acc,none": { | |
| "candidate": { | |
| "stderr": 0.014047122916440271, | |
| "value": 0.4861878453038674 | |
| }, | |
| "delta_candidate_minus_upstream": 0.0007892659826361226, | |
| "role": "primary", | |
| "untouched_upstream": { | |
| "stderr": 0.014046492383275955, | |
| "value": 0.48539857932123126 | |
| } | |
| } | |
| }, | |
| "sample_count": 1267 | |
| } | |
| } | |
| } | |