모델 정보

ThinkingCap-Qwen3.8-27B-GGUF

ngquocvinh · ThinkingCap-Qwen3.8-27B-GGUF

☕ If this GGUF made your day easier, a coffee would make mine. Send a coffee ☕ I build and test these releases myself. Your coffee helps keep me going. Thank you for supporting this work. This is a community GGUF package of BottleCap AI's 27B dense vision-language model, based on Qwen3.8-27B. The upstream model card describes hybrid linear and full attention, image and video understanding, an MTP head, and a native context length of 262,144 tokens. See the upstream model card for its capabilities, evaluation results, and recommended sampling settings. Those upstream task measurements apply to the upstream checkpoint and its exact quantized files; this package does not claim equivalent scores for these files. The package includes the upstream F16 multimodal projector. The ten quantizations from the initial release passed text generation smoke tests. Nine additional formats have also passed the same check; all 19 quantizations are published here. A held-out fidelity comparison to the locked F16 source has not been completed, so this card makes no fidelity ranking or quality percentage claim. Image input did not pass smoke validation with the pinned llama.cpp build: image encoding completed, but token decoding failed on both CUDA and CPU profiles. Treat image input as unverified with this runtime/package combination.

번역 대기 중입니다. 원문을 표시합니다.

텍스트 생성license:other
컨텍스트 창미공개
입력 → 출력텍스트 → 텍스트
모델 웨이트미확인
정보 업데이트2026/11/2 19:16:14
OVERVIEW

모델 소개

☕ If this GGUF made your day easier, a coffee would make mine. Send a coffee ☕ I build and test these releases myself. Your coffee helps keep me going. Thank you for supporting this work. This is a community GGUF package of BottleCap AI's 27B dense vision-language model, based on Qwen3.8-27B. The upstream model card describes hybrid linear and full attention, image and video understanding, an MTP head, and a native context length of 262,144 tokens. See the upstream model card for its capabilities, evaluation results, and recommended sampling settings. Those upstream task measurements apply to the upstream checkpoint and its exact quantized files; this package does not claim equivalent scores for these files. The package includes the upstream F16 multimodal projector. The ten quantizations from the initial release passed text generation smoke tests. Nine additional formats have also passed the same check; all 19 quantizations are published here. A held-out fidelity comparison to the locked F16 source has not been completed, so this card makes no fidelity ranking or quality percentage claim. Image input did not pass smoke validation with the pinned llama.cpp build: image encoding completed, but token decoding failed on both CUDA and CPU profiles. Treat image input as unverified with this runtime/package combination.

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

许可证:other。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。