モデル情報

normistral-7b-warm-instruct

ltg · normistral-7b-warm-instruct

This is a model instruction-tuned on open datasets released under the most permissive apache-2.0 licence (in other words, we don't use any datasets generated by ChatGPT) — thus we can release this model under the same license and make it openly available for commercial applications. The model has been finetuned on 4096 context length, twice as many tokens as the base model. The released weights are still a work in progress and they might change in the future. This is the first iteration of instruction-tuning our NorMistral models and it currently uses only the SFT phase without any preference optimization. Please let us know your feedback to improve the model in future releases. 1. We gathered all openly available datasets: Aya, OASST 1, OASST 2, OIG-small-chip2, No Robots, Dolly and Glaive code assistant. 2. These were first manually inspected and filtered, and then automatically filtered with Mixtral-8x7B to remove incorrect, offensive, non-English and American-centric responses. 3. The responses were augmented to be more descriptive by Mixtral-8x7B. 4. Since most of that dataset contains only a single dialogue turn, we generated more turns using Mixtral-8x7B. 5. Finally, we translated the resulting dataset into Bokmål and Nynorsk using NorMistral-7b-warm.

翻訳待ちのため原文を表示しています。

テキスト生成license:apache-2.0
コンテキスト長非公開
入力 → 出力テキスト → テキスト
モデルウェイト未確認
情報更新日時2026/11/2 19:16:49
OVERVIEW

モデル紹介

This is a model instruction-tuned on open datasets released under the most permissive apache-2.0 licence (in other words, we don't use any datasets generated by ChatGPT) — thus we can release this model under the same license and make it openly available for commercial applications. The model has been finetuned on 4096 context length, twice as many tokens as the base model. The released weights are still a work in progress and they might change in the future. This is the first iteration of instruction-tuning our NorMistral models and it currently uses only the SFT phase without any preference optimization. Please let us know your feedback to improve the model in future releases. 1. We gathered all openly available datasets: Aya, OASST 1, OASST 2, OIG-small-chip2, No Robots, Dolly and Glaive code assistant. 2. These were first manually inspected and filtered, and then automatically filtered with Mixtral-8x7B to remove incorrect, offensive, non-English and American-centric responses. 3. The responses were augmented to be more descriptive by Mixtral-8x7B. 4. Since most of that dataset contains only a single dialogue turn, we generated more turns using Mixtral-8x7B. 5. Finally, we translated the resulting dataset into Bokmål and Nynorsk using NorMistral-7b-warm.

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: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。