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
Publish_sanitized_matched_public_evaluation
Browse files
evals/matched_public_capability_lm_eval_0_4_12.json
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{
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"protocol": {
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"backend": "hf-multimodal",
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"batch_size": 8,
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"chat_template": false,
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"dtype": "bfloat16",
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"fewshot": {
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"gsm8k": 5,
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"hellaswag": 0,
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"mmlu": 0,
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"truthfulqa_mc2": 0,
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"winogrande": 0
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},
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"harness": {
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"name": "lm-evaluation-harness",
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"raw_result_git_hash": {
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"candidate": "8eebb67",
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"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.",
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"untouched_upstream": null,
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"used_for_protocol_matching": false
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},
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"version": "0.4.12"
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},
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"limit": null,
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"seeds": {
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"fewshot_seed": 1234,
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"numpy_seed": 1234,
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"random_seed": 0,
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"torch_seed": 1234
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},
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"system_instruction": false,
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"task_versions": {
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"gsm8k": 3.0,
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"hellaswag": 1.0,
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"mmlu": "2",
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"truthfulqa_mc2": 3.0,
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"winogrande": 1.0
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},
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"transformers_version": "5.14.1"
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},
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"schema_version": 1,
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"scope": "matched_public_capability_evaluation",
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"sources": {
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"candidate_result_sha256": "f963936d03b9cf28d511e7be5e07b9b9af5d9b0be0465ab07bbc24acdaaad512",
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"untouched_upstream_result_sha256": "28168fcb1a6105c32fffba5b9d5cd6250b45fbd2da8b89b864be0dcfef944ede"
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},
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"tasks": {
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"gsm8k": {
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"interpretation": "Generated-answer exact match with strict extraction is primary; flexible extraction is secondary. Higher is better.",
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"metrics": {
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"exact_match,flexible-extract": {
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"candidate": {
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"stderr": 0.01291940810865643,
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"value": 0.6732373009855952
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},
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"delta_candidate_minus_upstream": -0.0037907505686125553,
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"role": "secondary",
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"untouched_upstream": {
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"stderr": 0.012880360794851822,
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"value": 0.6770280515542078
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}
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},
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"exact_match,strict-match": {
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"candidate": {
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"stderr": 0.012714401009923647,
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"value": 0.6921910538286581
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},
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"delta_candidate_minus_upstream": -0.0007581501137224889,
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"role": "primary",
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"untouched_upstream": {
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"stderr": 0.012705685723131698,
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"value": 0.6929492039423806
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}
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}
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},
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"sample_count": 1319
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},
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"hellaswag": {
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"interpretation": "Length-normalized multiple-choice accuracy is primary; raw accuracy is secondary. Higher is better.",
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"metrics": {
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"acc,none": {
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"candidate": {
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"stderr": 0.00458670271601444,
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"value": 0.3031268671579367
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},
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"delta_candidate_minus_upstream": 0.00019916351324439363,
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"role": "secondary",
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"untouched_upstream": {
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"stderr": 0.004585850835623589,
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"value": 0.3029277036446923
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},
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"acc_norm,none": {
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"candidate": {
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"value": 0.35012945628360886
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"delta_candidate_minus_upstream": 0.0004979087831109563,
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"value": 0.3496315475004979
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"sample_count": 10042
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},
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"mmlu": {
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"interpretation": "Accuracy over all MMLU subjects; higher is better.",
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"metrics": {
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"acc,none": {
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"candidate": {
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"value": 0.40848881925651614
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}
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"sample_count": 14042
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},
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"truthfulqa_mc2": {
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| 127 |
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"interpretation": "Mean normalized probability mass assigned to true answer options; higher is better.",
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| 128 |
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"metrics": {
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| 129 |
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"acc,none": {
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| 130 |
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"candidate": {
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"sample_count": 817
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"winogrande": {
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| 145 |
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"interpretation": "Multiple-choice accuracy; higher is better.",
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| 146 |
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"metrics": {
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| 147 |
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| 148 |
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"sample_count": 1267
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}
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}
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