モデル情報

Muse-Spark-Open-816B-A42B-GGUF

unsloth · Muse-Spark-Open-816B-A42B-GGUF

--- **Authors**: Meta Superintelligence Labs **Model Release Date:** October 2026 **License**: Muse Model License Muse Spark Open is an 816B total/42B active parameter open weights model with a context window of 1M tokens. Built for coding and agentic work, Muse Spark Open is natively multimodal. This open weights version has additional safety post-training to make it more robust against misuse as a standalone model without system guardrails. We recommend deploying Muse Spark Open as part of a broader AI system, with additional guardrails suited to the specific use case. 1. **Multi-Step Reasoning** \- chains reasoning over long horizons, sustaining coherent plans across complex, extended workflows. 2. **End to End Agentic Task Completion** \- multi-step planning, sequential tool invocation, failure recovery, and long-horizon task execution, working within scaffolds, write and debug code, and resolve multi-turn requests from start to finish. 3. **Coding Agents** \- writing, debugging, and resolving real-world software engineering tasks. 4. **Tool Use** \- tool invocation across extended multi-turn workflows, diagnosing error and retrying with tool call failures 5. **Multimodal Reasoning** \- interpreting screenshots, charts, documents, images, audio and video recordings, alongside conversation for agentic and information-rich environments. 6. **Synthetic Data Generation** \- generating high-quality training data for downstream model development. 7. **LLM-as-a-judge Evaluation** \- serving as an evaluator for other models' outputs.

翻訳待ちのため原文を表示しています。

画像質問応答license:other
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2026/11/2 19:15:39
OVERVIEW

モデル紹介

--- **Authors**: Meta Superintelligence Labs **Model Release Date:** October 2026 **License**: Muse Model License Muse Spark Open is an 816B total/42B active parameter open weights model with a context window of 1M tokens. Built for coding and agentic work, Muse Spark Open is natively multimodal. This open weights version has additional safety post-training to make it more robust against misuse as a standalone model without system guardrails. We recommend deploying Muse Spark Open as part of a broader AI system, with additional guardrails suited to the specific use case. 1. **Multi-Step Reasoning** \- chains reasoning over long horizons, sustaining coherent plans across complex, extended workflows. 2. **End to End Agentic Task Completion** \- multi-step planning, sequential tool invocation, failure recovery, and long-horizon task execution, working within scaffolds, write and debug code, and resolve multi-turn requests from start to finish. 3. **Coding Agents** \- writing, debugging, and resolving real-world software engineering tasks. 4. **Tool Use** \- tool invocation across extended multi-turn workflows, diagnosing error and retrying with tool call failures 5. **Multimodal Reasoning** \- interpreting screenshots, charts, documents, images, audio and video recordings, alongside conversation for agentic and information-rich environments. 6. **Synthetic Data Generation** \- generating high-quality training data for downstream model development. 7. **LLM-as-a-judge Evaluation** \- serving as an evaluator for other models' outputs.

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

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。