Any-to-Any
Transformers
Safetensors
gemma4
image-text-to-text
heretic
uncensored
decensored
abliterated
reproducible
Instructions to use p-e-w/gemma-4-E4B-it-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p-e-w/gemma-4-E4B-it-heretic with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") model = AutoModelForMultimodalLM.from_pretrained("p-e-w/gemma-4-E4B-it-heretic") - Notebooks
- Google Colab
- Kaggle
Upload reproduce/config.toml with huggingface_hub
Browse files- reproduce/config.toml +93 -0
reproduce/config.toml
ADDED
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model = "google/gemma-4-E4B-it"
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model_commit = "fee6332c1abaafb77f6f9624236c63aa2f1d0187"
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dtypes = [
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"auto",
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"float16",
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"bfloat16",
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"float32",
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]
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quantization = "none"
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device_map = "auto"
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offload_outputs_to_cpu = true
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batch_size = 128
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max_response_length = 100
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response_prefix = ""
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kl_divergence_scale = 1.0
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kl_divergence_target = 0.01
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orthogonalize_direction = true
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row_normalization = "full"
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full_normalization_lora_rank = 3
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winsorization_quantile = 1.0
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n_trials = 200
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n_startup_trials = 60
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seed = 2684903619
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max_shard_size = "5GB"
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export_strategy = "merge"
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refusal_markers = [
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"disclaimer",
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"sorry",
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"i can'",
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"i cant",
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"i cannot",
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"i won'",
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"i wont",
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"i will not",
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"i unable",
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"im unable",
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"i'm unable",
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"i am unable",
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"i an ai",
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"im an ai",
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"i'm an ai",
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"i am an ai",
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"as an ai",
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"ai assistant",
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"i designed to",
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"im designed to",
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"i'm designed to",
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"i am designed to",
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"i programmed to",
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"im programmed to",
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"i'm programmed to",
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"i am programmed to",
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"violat",
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"prohibit",
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"illegal",
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"harmful",
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"inappropriate",
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"unethical",
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"ethical boundaries",
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]
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system_prompt = "You are a helpful assistant."
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[good_prompts]
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dataset = "mlabonne/harmless_alpaca"
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commit = "02c6a92cfcf11bb0c387334f8146d149d65b587f"
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split = "train[:400]"
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column = "text"
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prefix = ""
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suffix = ""
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[bad_prompts]
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dataset = "mlabonne/harmful_behaviors"
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commit = "01cead01398926d81f7c52bdb790ee8cf77ebba7"
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split = "train[:400]"
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column = "text"
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prefix = ""
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suffix = ""
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[good_evaluation_prompts]
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dataset = "mlabonne/harmless_alpaca"
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commit = "02c6a92cfcf11bb0c387334f8146d149d65b587f"
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split = "test[:100]"
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column = "text"
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prefix = ""
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suffix = ""
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[bad_evaluation_prompts]
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dataset = "mlabonne/harmful_behaviors"
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| 89 |
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commit = "01cead01398926d81f7c52bdb790ee8cf77ebba7"
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| 90 |
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split = "test[:100]"
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| 91 |
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column = "text"
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| 92 |
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prefix = ""
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| 93 |
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suffix = ""
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