AliceAI-Foundation-80B-A3B-Base-GGUF

모델 소개

**Requires the custom llama.cpp patch in this repository. Stock llama.cpp, Ollama and LM Studio have NOT been validated with this new `aliceai` architecture. Do not expect this file to work by simply importing it into an unmodified app.** This is a community conversion, not an official Yandex release. It is an 80B-parameter MoE **Base completion model**, not an instruction-tuned assistant. MTP is **not implemented**; the source MTP module is omitted. No training, fine-tuning, distillation or additional alignment was performed. - `AliceAI-Foundation-80B-A3B-Base-Q4_K_M.gguf`: **48,421,862,304 bytes (45.10 GiB)**, 1,167 tensors, approximately 4.86 bits/weight. - Converted directly from the original BF16 source, **not requantized from MLX Q4**. - Source: yandex/AliceAI-Foundation-80B-A3B-Base, revision `b7984f62fd212535d2de9094bfeba23de58cd7c8`. - Runtime base: ggml-org/llama.cpp, commit `7ab4ee7baad2d920464cbacfad4f4b07cf111fd2`, plus `aliceai-llama.cpp.patch`. - Q4_K_M uses mixed tensor precision, including Q6_K. In addition, **72 small KDA projection tensors use Q5_0**, because their width of 128 cannot use 256-element K-quant blocks. Norms, router weights, depth-residual scores and convolution weights retain FP32. This is not an all-tensors-exactly-4bit model. - The inherited GGUF display name is `Source`; identify the model by its file name and use `--alias AliceAI-80B-A3B-Q4` if desired. This label does not affect weights.

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.

출처별 요금 및 비용 분석

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

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。

자주 묻는 질문

출처 및 추적 기록

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。