Bielik-11B-v3.0-Instruct-GGUF

모델 소개

DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations! The GGUF file can be used with Ollama. To do this, you need to import the model using the configuration defined in the Modfile. For model eg. Bielik-11B-v3.0-Instruct.Q4_K_M.gguf (full path to model location) Modfile looks like: Here is an incomplete list of clients and libraries that are known to support GGUF: * llama.cpp. The source project for GGUF. Offers a CLI and a server option. * text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration. * KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling. * GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel. * LM Studio, an easy-to-use and powerful local GUI for Windows, macOS (Silicon) and Linux, with GPU acceleration * LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection. * Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration. * llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server. * candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use. * ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note ctransformers has not been updated in a long time and does not support many recent 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.

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。