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AIモデルライブラリ/saidutta69/MiniCPM-V-4.7-1B-heretic
モデル情報

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.

翻訳待ちのため原文を表示しています。

画像質問応答multimodallicense:apache-2.0
コンテキスト長非公開
入力 → 出力テキスト、画像 → テキスト
モデルウェイト未確認
情報更新日時2026/10/30 14:03:34
OVERVIEW

モデル紹介

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.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

PRICING & COST

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

出典・チャネル入力出力課金単位収集日時
確認可能な料金がありません。出典を確認してください。

月額の基本トークン費用を試算

—

試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。

INDEPENDENT BENCHMARKS

公開評価と実行設定

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。

収録済みの全ランキング →

よくある質問

オープンウェイトなら無料で商用利用できますか？

必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。

これはリアルタイムの請求料金ですか？

収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。

出典と追跡記録

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。