Hugging Face model: AEON-7/Gemma-4-31B-it-DECKARD-HERETIC-Uncensored-NVFP4-SVDQuant
Author: AEON-7
Created: 2026-04-12 06:57:36
Last modified: 2026-07-15 17:17:44
Pipeline: text-generation
Library: transformers
Likes: 2 | Downloads: 335
Tags: transformers, safetensors, gemma4, image-text-to-text, 31b, 4-bit, aarch64, abliterated, aeon, aeon-7, agentic, arm64, blackwell, chat, chunked-prefill, coding, conversational, deckard, dense, dgx-spark, english, flashinfer-cutlass, fp4, fp8-kv-cache, function-calling, gb10, gemma, gemma-4, google, gpu, grace-blackwell, heretic, instruct, long-context, low-rank, modelopt, multimodal, native-fp4, nvfp4, nvidia, openai-api, openai-compatible, prefix-caching, production-ready, quantized, reasoning, refusal-removed, sm_121a, svd-decomposition, svdquant, text-generation, thinking, tool-calling, transformer, uncensored, unfiltered, vision, vision-language, vllm, weight-quantization, en, base_model:DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking, base_model:quantized:DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking, license:gemma, endpoints_compatible, 8-bit, region:us
Base model relation: quantized
Base models: id: DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
Card metadata:
license: gemma
library_name: transformers
pipeline_tag: text-generation
base_model: DavidAU/gemma-4-31B-it-The-DECKARD-HERETIC-UNCENSORED-Thinking
tags: 31b, 4-bit, aarch64, abliterated, aeon, aeon-7, agentic, arm64, blackwell, chat, chunked-prefill, coding, conversational, deckard, dense, dgx-spark, english, flashinfer-cutlass, fp4, fp8-kv-cache, function-calling, gb10, gemma, gemma-4, gemma4, google, gpu, grace-blackwell, heretic, instruct, long-context, low-rank, modelopt, multimodal, native-fp4, nvfp4, nvidia, openai-api, openai-compatible, prefix-caching, production-ready, quantized, reasoning, refusal-removed, safetensors, sm_121a, svd-decomposition, svdquant, text-generation, thinking, tool-calling, transformer, uncensored, unfiltered, vision, vision-language, vllm, weight-quantization
model_type: gemma4
quantization: nvfp4
language: en