AI NEWS.ccAI는 지금, 미래는 업데이트 중
♡ 저장한 도구 0
AI 모델 라이브러리/saidutta69/MiniCPM-V-4.7-1B-heretic
모델 정보

MiniCPM-V-4.7-1B-heretic

saidutta69 · MiniCPM-V-4.7-1B-heretic

A decensored variant of openbmb/MiniCPM-V-4.7-1B, produced with Heretic v1.4.0 (directional ablation / "abliteration"). Refusal behaviour is suppressed here via targeted weight edits to the attention output and MLP down-projections rather than fine-tuning, so the vision tower, the OCR and grounding behaviour, and the on-device footprint are left intact. > [!IMPORTANT] > **The GGUF here is fully multimodal — text *and* vision.** Most converted VL checkpoints in this > collection ship a text-only GGUF, because the converter silently drops the vision tower. > llama.cpp registers MiniCPM-V 4.7 properly, so the vision tower is shipped as a separate > projector file, `MiniCPM-V-4.7-1B-heretic-mmproj-F16.gguf` (1.11 GB), and the two files together are the model. > For image input you **must** load both — see Quickstart. Text-only use needs only > the main GGUF. Nothing is lost in the conversion: the text GGUF holds > 1,006,209,856 tensor elements, an exact match for the text tower in `model.safetensors`, and the > projector holds the vision tower and merger exactly. **Who this is for:** developers who want an uncensored vision-language model small enough to run on a phone. The text tower is 1.01B and the vision tower 0.55B, so 1.55B total — by far the smallest model in this collection that still sees images, and it answers instead of declining: refusals drop from 60/100 to 5/100. OpenBMB ships an iPhone app for this checkpoint, and the base model is claimed to substantially outperform Qwen3.5 0.8B on both overall score and inference efficiency. Best for on-device image Q&A, OCR, screenshot and document reading, visual grounding, and local vision agents. If you need text-only at this size, Qwen3.5-0.8B-heretic is the denser sibling; if you want a stronger text model, take the vision tower off the table entirely and use one of the 3B text models.

번역 대기 중입니다. 원문을 표시합니다.

시각 질의응답multimodallicense:apache-2.0
컨텍스트 창미공개
입력 → 출력텍스트、이미지 → 텍스트
모델 웨이트미확인
정보 업데이트2026/11/2 19:16:07
OVERVIEW

모델 소개

A decensored variant of openbmb/MiniCPM-V-4.7-1B, produced with Heretic v1.4.0 (directional ablation / "abliteration"). Refusal behaviour is suppressed here via targeted weight edits to the attention output and MLP down-projections rather than fine-tuning, so the vision tower, the OCR and grounding behaviour, and the on-device footprint are left intact. > [!IMPORTANT] > **The GGUF here is fully multimodal — text *and* vision.** Most converted VL checkpoints in this > collection ship a text-only GGUF, because the converter silently drops the vision tower. > llama.cpp registers MiniCPM-V 4.7 properly, so the vision tower is shipped as a separate > projector file, `MiniCPM-V-4.7-1B-heretic-mmproj-F16.gguf` (1.11 GB), and the two files together are the model. > For image input you **must** load both — see Quickstart. Text-only use needs only > the main GGUF. Nothing is lost in the conversion: the text GGUF holds > 1,006,209,856 tensor elements, an exact match for the text tower in `model.safetensors`, and the > projector holds the vision tower and merger exactly. **Who this is for:** developers who want an uncensored vision-language model small enough to run on a phone. The text tower is 1.01B and the vision tower 0.55B, so 1.55B total — by far the smallest model in this collection that still sees images, and it answers instead of declining: refusals drop from 60/100 to 5/100. OpenBMB ships an iPhone app for this checkpoint, and the base model is claimed to substantially outperform Qwen3.5 0.8B on both overall score and inference efficiency. Best for on-device image Q&A, OCR, screenshot and document reading, visual grounding, and local vision agents. If you need text-only at this size, Qwen3.5-0.8B-heretic is the denser sibling; if you want a stronger text model, take the vision tower off the table entirely and use one of the 3B text models.

주요 특징

特点摘要待依据来源补齐，不凭模型名称推断能力。

한계 및 유의 사항

구체적 한계를 판단할 출처가 부족합니다. 실제 성능, 지연, 데이터 정책, 라이선스와 버전 수명을 확인하세요.

PRICING & COST

출처별 요금 및 비용 분석

요금은 채널, 지역, 설정에 따라 다릅니다. 각 채널 요금은 개별 표시되며 제공사의 통일 공식 요금이 아닙니다.

출처 / 채널입력출력과금 단위수집 시간
확인된 요금이 없습니다. 출처를 확인하세요.

월간 기본 토큰 비용 추정

—

추정치에는 캐시 할인, 구간 요금, 멀티모달 추가 요금, 검색, 세금 및 추가 추론 출력이 포함되지 않습니다.

INDEPENDENT BENCHMARKS

공개 평가 및 실행 설정

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

등록된 전체 순위 보기 →

자주 묻는 질문

오픈 웨이트면 무료 상업 이용이 가능한가요?

반드시 그렇지는 않습니다. 버전별 라이선스, 상업 이용 조건과 정책을 확인하세요. 자체 배포에는 연산 및 유지 비용도 듭니다.

실시간 결제 요금인가요?

수집 시간이 기록된 요금 스냅샷입니다. 최신 버전, 지역, 할인과 과금 방식은 해당 채널에서 확인하세요.

출처 및 추적 기록

huggingface · saidutta69/MiniCPM-V-4.7-1B-heretic ↗2026/10/29 21:57:11
huggingface · enrich:8a39cf21-eb66-4303-b09a-3578a50275d1 ↗2026/10/30 14:03:34

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。