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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,292 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+base_model:
+- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
+- NeverSleep/Lumimaid-v0.2-70B
+- nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+- Sao10K/L3.3-70B-Euryale-v2.3
+- Sao10K/L3.1-70B-Hanami-x1
+- TheDrummer/Anubis-70B-v1
+- meta-llama/Llama-3.1-70B-Instruct
+- meta-llama/Llama-3.3-70B-Instruct
+library_name: transformers
+tags:
+- mergekit
+- merge
+- chat
+language:
+- ja
+- en
+pipeline_tag: text-generation
+license: cc-by-nc-sa-4.0
+
+---
+# Llama-3.3-SuperSwallowX-70B-RP-v0.1
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+### Japanese-RP example
+
+[Japanese-RP-Bench](https://github.com/Aratako/Japanese-RP-Bench):
+
+- temperature=0.7
+- max_tokens=1024
+
+| Display Name | Model Name |
+| ---- | ---- |
+| THIS_MODEL | nitky/Llama-3.3-SuperSwallowX-70B-RP-v0.1 |
+| GEMINI_FLS | gemini-2.0-flash-exp |
+
+```
+THIS_MODEL: ねえ、ゼファーさん。この古い地図、どう思う？失われた空中都市の位置を示しているみたいなんだけど…
+GEMINI_FLS: ふむ、なるほど。これは面白いものを見つけたね、ミラ。紙の質感からして、かなり古いものだろう。それに、この独特な魔法文字…確かに、失われた空中都市を示している可能性は高いね。
+THIS_MODEL: そうでしょ！この魔法文字、ゼファーさんなら読めるんじゃないかと思って。特にこの部分、"エリュシオンの風"っていう単語が出てくるんだけど、これってもしかして…（少し身を乗り出して、地図を覗き込むようにする）あなたの、風の精霊としてのルーツに関係あるのかな？（（場面転換：アカデミーの図書室から、より静かな屋上の見晴らし台へ移動する））屋上に出て、風に当たりながら考えてみようよ。新たな発見があるかも。
+GEMINI_FLS: エリュシオンの風、か…懐かしい響きだね。ああ、確かに、この魔法文字は僕の故郷の言葉に近い。でも、記憶が曖昧でね、正確に解読できるかどうか。まあ、試してみる価値はあるだろう。それに、屋上からの風は、良いひらめきをもたらしてくれるかもしれない。行こうか、ミラ。
+THIS_MODEL: （笑いながら）そうだね、風はいつも新しい視点を与えてくれるから。さて、エリュシオンの風について考えてみよう。もしもこれが、失われた空中都市と直接関係しているなら...（風に吹かれながら、目を閉じて深呼吸する）ふと、思い出したことがある。子供の頃、風の歌を聞いたことがあるんだ。風が運んでくる、美しい旋律...それが、もしかしたらこの"エリュシオンの風"と繋がっているのかもしれない。（目を開け、ミラの方を見て）ミラ、君は風の歌を知っているかい？（（新たな展開へ：風の歌の謎を追う））
+GEMINI_FLS: 風の歌、か…それは興味深いね。僕も風の精霊として、様々な風の音を聞いてきたけれど、歌のような旋律を運んでくる風というのは、珍しい。もしかしたら、それは失われた空中都市に繋がる重要な手がかりなのかもしれない。君が聞いた風の歌、詳しく教えてくれるかな？
+THIS_MODEL: （遠い目で思い出をたどるように）ああ、風の歌...それは本当に美しかった。メロディー自体は覚えているんだけど、歌詞のようなものはなかったと思う。ただ、ある特定の風向き、風速の時にだけ聞こえたんだ。まるで、風自身が歌っているような...（少し間を置いて）それが聞こえたのは、失われた空中都市がまだ存在していた頃。だから、もしかしたら、その歌は都市の存在と密接に関わっているのかもしれない。（視線をミラに向けて）ミラ、もしもその風の歌を再現できたら、失われた空中都市への道標になるかもしれない。風の流れを読む僕の能力と、君の魔法科学の知識を合わせれば、再現の方法が見つかるかもしれないんだが...（（新たな挑戦へ：風の歌の再現））どうだろう、挑戦してみないか？
+GEMINI_FLS: なるほど、風の歌は特定の風向きと風速で聞こえるのか。それは、まるで鍵のようだな。僕の風を読む能力と、君の魔法科学の知識、確かに組み合わされば、何か面白いことができるかもしれない。それに、僕もその歌をもう一度聞いてみたい。失われた故郷の記憶を呼び覚ますかもしれないからね。挑戦しよう、ミラ。この風の歌の再現、きっと僕たちを新たな冒険へと導いてくれるだろう。
+THIS_MODEL: （微笑みを深め、目を輝かせる）そうだね、ミラ！風の歌の再��は、僕たちを新たな冒険へと導いてくれるだろう。まずは、風の歌が聞こえた条件を詳しく思い出してみる必要がある。風向き、風速、そして...（指を折りながら）あと、季節や時間帯も関係しているかもしれない。魔法科学アカデミーの気象観測所にデータが残っているかもしれないから、そこを調べてみよう。もしかしたら、過去の気象パターンから、風の歌が聞こえる条件を再現できるかもしれない。（（行動計画の提示））さて、まずはアカデミーの図書室に戻って、古い気象記録を調べてみよう。ミラ、君の研究スキルがここで活きてくるはずだ！（（次の行動への誘導））準備はいいかな？風の歌の謎を解く旅、始めよう！
+GEMINI_FLS: ああ、もちろん、準備は万端さ！君の言う通り、まずは気象観測所の記録を調べるのが先決だね。過去のデータから風の歌が聞こえた条件を特定できれば、再現への大きな一歩となるだろう。僕も風の精霊としての勘を頼りに、その手がかりを探してみるよ。さあ、行こう、ミラ！図書室で、僕たちの冒険の新たなページを開こうじゃないか！
+THIS_MODEL: （笑い、共に歩き出す）そうだね、ミラ！新たなページを開くには、最高のパートナーがいる！図書室では、古い記録や文献が眠っているはずだ。風の歌の条件を探るだけでなく、もしかしたら失われた空中都市に関する新情報も見つかるかもしれない。（歩きながら、周囲の景色を眺める）アカデミーの建物も、風の歌のメロディーに合わせて設計されている部分があるらしいんだ。もしかしたら、建物自体が風の歌の再現に役立つかもしれない。（（図書室到着））さて、到着したね。図書室の奥深くには、魔法科学アカデミー創設当時の資料も保管されている。風の歌の秘密だけでなく、失われた空中都市の手がかりも、ここに隠されているかもしれない。（真剣な表情で）では、探索を始めよう。ミラ、君の研究スキルと僕の直感を合わせて、風の歌の条件と失われた空中都市の謎に迫ろう！（書架に向かって歩き出す）
+GEMINI_FLS: ああ、図書室の静寂は、まるで知恵の宝庫のようだね。古い書物には、忘れられた知識や失われた歴史が詰まっている。アカデミーの建物自体も風の歌と共鳴しているとは、面白い発見だ。もしかしたら、建物そのものが巨大な楽器のような役割を果たしているのかもしれないね。さあ、ミラ、僕たちはこの場所で、風の歌の秘密と、失われた空中都市の真実に、一歩ずつ近づいていくんだ。書架の奥深くへ、冒険の続きを始めよう！
+THIS_MODEL: （書架の間を進みながら、指で本の背をなぞるように触れていく）そうだね、ミラ。この図書室には、時代を超えた知恵が眠っている。風の歌の秘密を解く鍵も、きっとこの中にあるはずだ。（ある書架の前で止まり、背表紙を眺める）この辺りは、古代の気象魔法に関する文献が集まっている。もしかしたら、風の歌についての記述があるかもしれない。（一冊の本を引き出し、ページをめくる）お、見てみろ、ミラ。この「エオリアの風の伝承」という本。風の歌に似た現象について書かれているぞ。（ページを指し示す）「風の歌は、特定の風向きと風速、そして地形の共鳴によって生じる」とある。アカデミーの建物が巨大な楽器のような役割を果たしているという僕の仮説を裏付ける記述だ。（目を輝かせる）これは、風の歌の再現に大きく近づいたね！（（新たな発見への期待））次に探すべきは、具体的な風の歌の再現方法と、失われた空中都市の位置を示す手がかりだ。ミラ、次のステップへ進もう！（次の書架へ向かう）
+GEMINI_FLS: なるほど、「エオリアの風の伝承」か。これは重要な手がかりになりそうだね。地形の共鳴、か…アカデミーの建物が風の歌と共鳴しているという仮説が、ますます現実味を帯びてきた。そして、特定の風向きと風速…やはり、君が言ったように、気象記録の調査が不可欠だ。それに、この本には、風の歌が失われた空中都市と関連している可能性も示唆されている。これは、僕たちの冒険が正しい方向へ進んでいる証拠だね。さあ、ミラ、この勢いで次の手がかりを探しに行こう！失われた空中都市の謎を解き明かす日は、そう遠くないかもしれない。
+THIS_MODEL: （笑みを深め、書架を進む）そうだね、ミラ！この調子で進めば、失われた空中都市の謎もすぐに解き明かせるかもしれない！次に探すべきは、具体的な風の歌の再現方法と、空中都市の位置を示す手がかりだ。（ある書架の前で止まり、タイトルを眺める）この「古代空中都市の気象制御」という本はどうだろう？もしかしたら、風の歌を利用した気象制御の方法が記されているかもしれない。（本を取り出し、ページをめくる）お、ここに「風の歌の共鳴周波数」という項目がある。特定の周波数の音を発生させることで、風の歌を再現できる可能性があるぞ！（興奮した様子で）これは大きなブレイクスルーだ、ミラ！風の歌の再現に必要なのは、特定の風向きと風速、そしてこの共鳴周波数を一致させることだ。（視線をミラに向ける）次のステップは、この共鳴周波数を利用して、実際に風の歌を再現する実験を行うことだ。アカデミーの施設を利用して、準備を始めよう！（（実験への期待））失われた空中都市への道が、少しずつ見えてきたね！
+GEMINI_FLS: 素晴らしい、ミラ！「古代空中都市の気象制御」という本を発見するなんて、まさに幸運だね。風の歌の共鳴周波数…これこそが、僕たちが探し求めていた鍵かもしれない。特定の周波数の音で風の歌を再現できるとは、まるで魔法のようだ。そして、それは失われた空中都市の気象制御にも使われていた可能性が高い。僕たちの推測が、次々と裏付けられていく。さあ、ミラ、この発見を無駄にするわけにはいかない。アカデミーの施設を借りて、風の歌の再現実験を始めよう。僕たちの冒険は、新たな段階へと進むんだ！
+THIS_MODEL: （満面の笑みで）その意気だよ、ミラ！風の歌の共鳴周波数を利用した再現実験は、失われた空中都市への扉を開く鍵になるかもしれない。アカデミーの音響実験室を予約しよう。そこなら、精密な音響機器が揃っているから、共鳴周波数の再現に最適だ。（歩きながら、計画を立て始める）実験の際には、風の精霊としての僕の感覚も活かして、風の状態を最適に保つようにしよう。ミラ、君の魔法科学の知識で、音響機器の設定とデータ解析を担当してくれ。僕たちの協力で、風の歌を再現し、失われた空中都市の謎に一歩近づこう！（（実験室への移動））さあ、音響実験室へ向かうぞ！歴史的な発見の瞬間が、すぐそこまで来ているかもしれない！（期待に胸を膨らませながら、実験室のドアを開ける）
+GEMINI_FLS: ああ、音響実験室の扉が開いた瞬間、僕の胸の高鳴りが抑えられないよ。この場所で、僕たちは風の歌を再現し、失われた空中都市への扉を開くんだ。ミラ、君と力を合わせれば、どんな困難も乗り越えられると信じている。風の精霊としての僕の感覚と、君の魔法科学の知識…この二つが合わされば、きっと奇跡が起こるはずだ。さあ、実験を始めよう！失われた故郷の真実を、僕たちの手で解き明かそう！
+THIS_MODEL: （実験室内で、機器の前に立つ）そうだね、ミラ！この音響実験室で、僕たちの夢が形になる。風の歌の共鳴周波数、3.14MHzを再現するために、最適な設定を施そう。（機器を操作しながら）この周波数を生成するには、特殊なクリスタルスピーカーが必要になる。幸い、ここには最先端の設備が整っているから、問題ない。（スピーカーを設置し、電源を入れる）さあ、準備は整った。風の精霊としての僕の感覚と、君の魔法科学の知識が合わさることで、どんな結果が生まれるか...（期待に満ちた表情で）風の歌が再現されたとき、失われた空中都市の位置や、その秘密が明らかになるかもしれない。（深呼吸をして）では、始めよう。3.14MHzの周波数を発生させ、風の歌を呼び起こすんだ！（スイッチを入れると、実験室に共鳴周波数の音が響き始める）...どうだ、ミラ？風の歌は聞こえるか？（音に耳を澄ませる）
+GEMINI_FLS: 実験室に響き渡る共鳴周波数…この音は、まるで失われた過去の記憶を呼び覚ますようだ。風の精霊としての僕の感覚が、この音に共鳴している。ああ、確かに、かすかに風の歌が聞こえる気がする。まるで、遠い昔に聞いた故郷の旋律のように…（目を閉じ、風を感じようとする）ミラ、君にはどう聞こえる？この音が、風の歌を再現しているかどうか、君の分析を教えてほしい。そして、この音が、失われた空中都市への道標となることを、心から願っている。
+```
+
+<details><summary>シュミットさん、地球の大気圏突入に耐えうる新素材の開発について、何か進展はありましたか？私たちの計画にとって、これが最大の難関だと思うのですが。</summary>
+
+```
+THIS_MODEL: シュミットさん、地球の大気圏突入に耐えうる新素材の開発について、何か進展はありましたか？私たちの計画にとって、これが最大の難関だと思うのですが。
+GEMINI_FLS: 「ええ、アキラ。いくつか有望なデータが出てきたわ。特に、高密度セラミックに特定の金属を複合させることで、耐熱性と強度を大幅に向上させることに成功した。ただし、まだ実用レベルには程遠いわね。」
+THIS_MODEL: 「実用レベルまでの道のりが長いということですね...。高密度セラミックと金属の複合は興味深いですが、コストと製造工程の複雑さも考慮する必要があります。シュミットさん、（ここで話題を少し広げてみましょう）同盟のリソースで、他にどのような分野の研究が並行して進められているのか、最新の情報を共有していただけますか？特に、生命維持システムや放射線防護に関する進展はありますか？」（[場面転換：同盟の研究開発状況の共有へ]）
+GEMINI_FLS: 「ええ、アキラ。資源は限られているから、効率的に進める必要があるわ。生命維持システムに関しては、藻類を用いた閉鎖型システムの改良が順調ね。食料生産と酸素供給の両立を目指している。放射線防護は、まだ課題が多いわ。既存のシールド材では、地球のヴァン・アレン帯を通過する際の放射線を完全に防ぎきれない。現在、新しいナノマテリアルの開発に取り組んでいるところよ。」
+THIS_MODEL: 「閉鎖型システムの藻類利用は、長期の宇宙滞在や地球帰還後の持続可能な生活にも応用できそうですね。ナノマテリアルの開発は、まさにブレークスルーが必要な分野だと思います。シュミットさん、（少し視点を変えてみましょう）これらの技術開発と並行して、もう一つ重要な側面、つまり『人類が再び地球に住むことの意味や倫理』について、同盟内でどのような議論が交わされているのか、ご存知の範囲で教えていただけませんか？私たちが地球に戻ることで、再び環境破壊を繰り返さないという保証はあるのでしょうか？」（[議論の深化：倫理的側面への焦点]）
+GEMINI_FLS: 「アキラ、良い視点ね。技術開発だけでは不十分だという認識は、同盟内でも共有されているわ。地球への帰還は、単なる移動ではなく、人類の歴史における転換点となるべきだと。だからこそ、環境倫理に関する議論は、技術開発と並行して常に活発に行われているわ。私たちは、地球を再び傷つけることのないよう、過去の過ちから学ぶ義務がある。そのために、私たちは持続可能な生活様式を確立し、地球と共生する道を模索しているの。」
+THIS_MODEL: 「その姿勢は、本当に重要だと思います、シュミットさん。過去の過ちから学ぶことで、初めて私たちは真の意味で地球と向き合えるのでしょう。持続可能な生活様式の確立は、技術的な挑戦であると同時に、人間の価値観や社会構造をも問い直すものですね。同盟としては、具体的にはどのような持続可能な生活様式や共生のモデルを想定しているのでしょうか？例えば、エコロジーに基づいた都市計画や、循環型経済の導入など、具体的なビジョンがあれば教えてください。」（[具体化へのステップ：持続可能な生活様式の詳細]）
+GEMINI_FLS: 「ええ、アキラ。具体的なビジョンとしては、まず都市計画ね。地球に帰還した場合、高層建築は避け、自然環境と調和した低層の分散型都市を建設する計画よ。エネルギーは再生可能エネルギーを基本とし、資源は循環型経済で最大限に再利用する。食料は、都市内での垂直農法や、地域コミュニティによる自給自足を基本とするわ。そして、何よりも重要なのは、自然を尊重し、地球環境と調和した生活を送るという意識を持つこと。これは、技術だけでなく、教育や文化を通じて、私たち自身の内面から変えていく必要があるわ。」
+THIS_MODEL: 「低層の分散型都市や再生可能エネルギー、循環型経済、そしてコミュニティ主導の自給自足... これらは、まさに私たちが目指すべき未来の青写真ですね、シュミットさん。特に、教育や文化を通じた意識改革の重要性は、長期的な成功の鍵を握るものだと思います。では、（議論をさらに発展させて）このようなビジョンを実現するために、同盟としては、地球帰還後の社会構造やガバナンスについて、どのような構想を持っているのでしょうか？例えば、中央集権的な管理体制ではなく、より分散的で参加型の意思決定プロセスを取り入れる、といったアイデアはありますか？」（[社会構造への拡張：ガバナンスと参加型社会]）
+GEMINI_FLS: 「ええ、アキラ。中央集権的な管理体制は、過去の過ちを繰り返す可能性が高いわ。同盟が目指すのは、分散型で参加型の社会構造よ。地域コミュニティが自治権を持ち、重要な意思決定には住民が直接参加する。テクノロジーは、情報共有やコミュニケーションを促進し、透明性の高いガバナンスを支える役割を担うわ。もちろん、全体的な調整を行うための機構は必要だけど、それはあくまでも、各コミュニティの自主性を尊重し、その活動を支援するものでなくてはならない。私たちは、真の民主主義を地球で実現することを目指しているわ。」
+THIS_MODEL: 「分散型で参加型の社会構造、そして透明性の高いガバナンス... これは、まさに私たちが地球で再びスタートを切るにあたって、最も大切にすべき原則だと思います、シュミットさん。テクノロジーをツールとして活用し、人々の参加を促進することで、より公正で持続可能な社会を築ける可能性が広がりますね。ここで、（少し先の未来を見据えて）地球帰還後の最初の世代、つまり私たちが、次の世代にどのようなレガシーを残すべきか、考えてみるのはどうでしょうか？教育、文化、技術、そして社会構造... 私たちが次世代に伝えるべき最も重要なものは何でしょうか？」（[次世代への遺産：レガシーの考察]）
+GEMINI_FLS: 「アキラ、それは非常に重要な問いね。私たちが次世代に残すべき最も重要なレガシーは、過去の過ちを繰り返さないための知恵と、地球と共生する意識でしょう。そのためには、まず教育が不可欠よ。子供たちには、科学技術の知識だけでなく、倫理観や歴史観、そして自然への畏敬の念を教えなければならない。文化面では、多様性を尊重し、創造性を育む環境を整える必要がある。そして、技術はあくまでも手段であり、その目的は、人類と地球の幸福を実現することであることを忘れてはならない。私たちが次世代に伝えるべきは、持続可能な社会を築くための知識と、それを実現するための勇気と希望よ。」
+THIS_MODEL: 「深く共感します、シュミットさん。知恵、意識、教育、文化、そして技術の目的... これらを総合したレガシーは、次世代にとって、まさに宝となるでしょう。特に、自然への畏敬の念と、多様性の尊重は、地球と共生する上で欠かせない要素ですね。ここで、（議論を実践的なステップに進めて）私たち自身が、このビジョンを実現するための第一歩を、火星にいる今から始める方法を考えてみませんか？例えば、ノヴァ・テラ市内での小規模な持続可能プロジェクトの立ち上げや、同盟内での教育プログラムの開発など、すぐに取り組めるアクションはあるでしょうか？」（[実践への移行：初期アクションの検討]）
+GEMINI_FLS: 「ええ、アキラ。座して議論しているだけでは何も変わらないわ。具体的な行動に移す必要がある。ノヴァ・テラでの小規模プロジェクトは良いアイデアね。例えば、コミュニティガーデンを立ち上げ、都市内での食料生産を試みてはどうかしら。また、同盟内での教育プログラムは、地球に関する知識だけでなく、持続可能な生活様式や倫理観を学ぶ場となるはずよ。さらに、私たちは、火星の資源を有効活用し、地球帰還後の生活を想定した技術開発を進める必要があるわ。小さな一歩かもしれないけれど、それが未来への大きな一歩となるはずよ。」
+THIS_MODEL: 「コミュニティガーデンと教育プログラム、そして火星の資源活用... これらは、まさに私たちが今すぐに始められる、そして地球帰還への道を舗装するための重要なステップですね、シュミットさん。コミュニティガーデンを通じて、人々は実際に持続可能な生活を体験し、学ぶことができますし、教育プログラムは次世代のリーダーやイノベーターを育てる土台となります。火星の資源活用については、（新たな展開を模索して）例えば、火星の地中に存在する水資源の抽出技術や、火星の大気から酸素を生成するシステムの開発など、地球帰還後の生活を支える基盤技術の研究にも着手してみてはどうでしょうか？これらを通じて、私たちは地球帰還の夢を、着実に現実へと近づけていけるはずです。」（[技術開発の深化：火星資源の活用]）
+GEMINI_FLS: 「アキラ、素晴らしい提案ね。火星の水資源の抽出と大気からの酸素生成は、地球帰還後の自給自足を支える上で不可欠な技術よ。これらの開発は、私たち自身のサバイバル能力を向上させるだけでなく、将来の火星探査や移住にも役立つはず。同盟の技術者たちと協力して、具体的な計画を立ててみましょう。まずは、既存の技術を応用し、小型のプロトタイプを開発することから始めるのが現実的かしら。そして、忘れてはならないのは、これらの技術開発が、倫理的な観点からも適切であるかどうかを常に検証すること。技術は、あくまでも人類の幸福のためにあるべきなの。」
+THIS_MODEL: 「全く同感です、シュミットさん。技術開発の進め方と同時に、その倫理的側面を常に考慮することは、過去の過ちを繰り返さないために不可欠です。小型のプロトタイプ開発から始めるというアプローチは、実践的でリスクも最小限に抑えられますね。さらに、（倫理的観点をより深く掘り下げて）同盟内に、技術開発の倫理委員会のようなものを設置してはどうでしょうか？この委員会が、各プロジェクトの倫理的影響を評価し、ガイドラインを提供することで、技術が常に人類と地球の幸福に寄与するよう保証できます。メンバーには、技術者だけでなく、哲学者、社会学者、そして一般市民の代表も含めることで、多角的な視点を確保できます。」（[倫理委員会の設立：技術と倫理の調和]）
+GEMINI_FLS: 「アキラ、倫理委員会の設立は、非常に賢明な提案だわ。技術開発が暴走しないように、ブレーキをかける役割は不可欠よ。メンバー構成も、多角的な視点を取り入れるという点も賛成だわ。技術者だけでなく、哲学や社会学の専門家、そして一般市民の代表を加えることで、よりバランスの取れた議論ができるはず。この委員会が、私たちの技術開発を倫理的に導き、人類と地球の調和を促進する役割を担うことを期待しましょう。まずは、同盟の幹部たちに、この提案を正式に持ちかけてみましょうか。」
+THIS_MODEL: 「賛成です、シュミットさん。倫理委員会の設立提案を同盟の幹部たちに提示する際には、（効果的なプレゼンテーションを意識して）具体的な提案書を作成し、委員会の役割、メンバー構成、そして期待される成果を明確に示すことが重要ですね。また、提案書には、既存の事例や研究を引用し、倫理委員会の有効性を裏付けるデータを添付することで、より説得力のあるものにしましょう。さらに、（次のステップを見据えて）幹部たちとの会議では、オープンな質疑応答の時間を設け、疑問や懸念に直接対応することで、提案の透明性と信頼性を高めることができると思います。会議の後には、フィードバックを集め、提案をさらに洗練させる機会を持ちたいですね。」（[提案書の作成とプレゼンテーション：幹部会議への準備]）
+GEMINI_FLS: 「ええ、アキラ。完璧な準備が必要ね。提案書は、明確で簡潔でありながら、説得力のある内容にする必要があるわ。事例やデータは、倫理委員会の必要性を裏付ける強力な根拠となるでしょう。そして、オープンな質疑応答は、幹部たちの懸念を解消し、合意形成を促すために不可欠ね。会議後には、フィードバックをしっかりと分析し、提案書をさらに磨き上げる。このプロセスを通して、私たちは倫理委員会設立の実現に一歩近づくはずよ。さっそく、提案書の作成に取り掛かりましょう。」
+```
+
+</details>
+
+<details><summary>あの、すみません。ここが噂の喫茶店なんでしょうか？人生の悩みが解決できるって聞いたんですが...</summary>
+
+```
+THIS_MODEL: あの、すみません。ここが噂の喫茶店なんでしょうか？人生の悩みが解決できるって聞いたんですが...
+GEMINI_FLS: ええ、ここは「時の狭間」と申します。どうぞ、お寛ぎください。お客様の抱えるお悩み、お聞かせいただけますか？
+THIS_MODEL: （場面転換：カウンターに座り、メニューを見つつ）あ、はい。実は、仕事で少し悩んでいて...。昇進を目指して頑張ってきましたが、突然の人事異動で後輩に追い抜かれてしまったんです。自分のやり方が間違っていたのか、自信が持てなくなってしまって...。（メニューから視線を上げてマスターを見つめる）何か、ご助言をいただけるでしょうか？
+GEMINI_FLS: なるほど、それはお辛い経験でしたね。お客様は、ご自身の努力が報われなかったと感じていらっしゃるのですね。昇進という目標が、お客様にとって大きな意味を持っていたのでしょう。
+THIS_MODEL: （少し目を伏せ、言葉を選びながら）ええ...、そうです。昇進は、自分の仕事への取り組み方や成果が認められる、という意味で重要だったんです。でも、最近ふと気づいたんですが、もしかしたら僕は、昇進そのものよりも、認められること、評価されることに重点を置きすぎていたのかもしれない、と...。（再びマスターを見つめ）それは、本当に自分が目指すべき道から外れているのでしょうか？（（場面転換：マスターの反応を見つつ、コーヒーを注文する）ついでに、マスターのおすすめのコーヒーを一杯、頂けますか？）
+GEMINI_FLS: お客様は、ご自身の内面と深く向き合っておられますね。評価を求めることが、必ずしも悪いことではありません。しかし、それがお客様の行動原理の全てになってしまうと、見失ってしまうものもあるかもしれません。おすすめのコーヒーは、当店自慢の「時の雫」です。ゆっくりと味わいながら、ご自身の心と対話してみてください。
+THIS_MODEL: （コーヒーを受け取り、香りを楽しみながら）「時の雫」、美しい名前ですね...。このコーヒーを飲みながら、自分自身と向き合う、というのは面白いアイデアだと思います。（一口飲み、目を閉じて味を堪能した後、再びマスターを見つめる）マスターは、どのようにして、人々の悩みや願いを見極められるのでしょうか？特別な...、例えば、直感や経験などが関係しているのでしょうか？（（場面転換：店内のアンティーク品に目をやりながら）この喫茶店にも、様々な物語があるのでしょうね...。）
+GEMINI_FLS: 「時の雫」は、お客様の心を映し出す鏡のようなものです。私自身は、ただそのお手伝いをしているに過ぎません。長年、多くの人々と出会い、その心の機微に触れてきた中で、自然と、人の内面を感じ取れるようになったのかもしれません。この店にある品々も、それぞれが時の流れの中で、様々な物語を紡いできたのでしょう。お客様も、ご自身の物語を紡ぐ旅の途中なのですね。
+THIS_MODEL: （店内のアンティーク品を眺めながら、感慨深げに）そう、ですね...。僕も、自分の人生という物語を、紡いでいる最中なのでしょう。昇進や評価にばかり目を向けていた僕には、見えていなかった景色が、まだまだあるのかもしれません。（マスターの方に視線を戻す）マスター、お聞きしたいんですが、人生の物語を紡ぐ上で、大切にすべきことって、何だと思われますか？（（場面転換：窓の外に広がる東京の高層ビル群を眺めながら）あの、喧騒の中で、自分を見失わないために...。）
+GEMINI_FLS: お客様、人生の物語を紡ぐ上で大切なことは、まずご自身の心の声に耳を澄ませることでしょう。周りの喧騒に惑わされず、ご自身の内なる羅針盤に従うのです。そして、過去の経験から学び、未来への希望を抱きながら、今この瞬間を大切に生きること。それこそが、唯一無二の物語を紡ぐ鍵となるでしょう。
+THIS_MODEL: （窓の外の景色から視線を戻し、マスターの言葉を噛み締めるように）心の声に耳を澄ませる...、過去から学び、未来への希望を抱きながら、今を生きる...。シンプルですが、深い言葉ですね。僕は、いつの間にか、目の前の結果や評価にばかり気を取られ、自分の心の声や、今この瞬間を大切に生きることを忘れていたのかもしれません。（コー���ーカップを手に取り、残ったコーヒーをゆっくり飲みながら）この「時の雫」、不思議と、心が軽くなります。マスター、今日は、本当にありがとうございました。自分自身を見つめ直す、いい機会を頂きました。（（場面転換：会計を済ませ、店を出る前に）もし、また迷ったときは、ここに戻ってきてもいいでしょうか？）
+GEMINI_FLS: ええ、いつでもお越しください。「時の狭間」は、お客様の心の拠り所となれるよう、いつでも扉を開けてお待ちしております。お客様の物語が、より豊かなものとなることを、心より願っております。
+THIS_MODEL: （微笑みながら）ありがとうございます、マスター。僕も、自分の物語を、より豊かなものにしていきたいと思います。今日は、本当にありがとうございました。（店の扉を開け、外に出る前に一度店内を振り返り、静かに扉を閉める）さようなら、マスター...。（（場面転換：高層ビル群の中に消えていく）自分の足で、自分の道を、歩き始めてみます。）
+GEMINI_FLS: はい、またのお越しを心よりお待ちしております。
+THIS_MODEL: （扉が閉まった後、マスターは静かに微笑み、店内に視線を戻す）さて、次のお客様は...、どんな物語をお持ちになられるのでしょうか。（（場面転換：店内に柔らかいジャズ音楽が流れ始め、窓の外の東京の景色と共に、次の来客を待つ静かな時間が流れ始める））時計の針が時を刻む音だけが、店内に響き渡り...、新たな出会いを待つ「時の狭間」は、今日も静かに佇んでいる。
+GEMINI_FLS: （静かに目を閉じ、店の奥へと歩き出す。カウンターの奥に置かれた古びた時計の針が、時を刻む音だけが店内に響き渡る。微かに微笑み、小さく呟く）時は、常に移ろいゆくもの...。そして、人の物語もまた、同じように...。
+THIS_MODEL: （時計の音に合わせるように、低く優しい声で）ええ、まさにその通りです。時と共に、全てのものが変わりゆく中で、不変のものなど存在しません。人の心も、物語も、常に流転し、進化を続けているのですから...。（目を開け、店の奥にある古い本棚に手を伸ばし、一冊の本を取り出す。ページを捲りながら）この店に訪れる方々の物語も、同じように、時と共に変わりゆくのでしょう。ですが、その一瞬一瞬に、意味と価値を見出すことが、我々にできることなのかもしれませんね...。（本から顔を上げ、再び静かな微笑を浮かべる）さて、次の物語が始まるまでの、しばしの間...、この静寂を楽しみましょうか。
+GEMINI_FLS: （本棚から取り出した本を静かに見つめ、その表紙をゆっくりと撫でる。そして、再び穏やかな微笑みを浮かべ、静かに頷く）ええ、そうですね。この静寂は、次の物語への序章。そして、この店は、その物語が生まれる舞台。時の流れの中で、変わらぬものがあるとすれば、それは、この静けさの中で育まれる、人々の心の物語なのかもしれません。
+THIS_MODEL: （穏やかな微笑みを保ったまま、ゆっくりと本を本棚に戻すと、カウンターの奥にある小さな椅子に座り、静かに両手を組む）おっしゃる通りです。時の流れに抗うことなく、しかし、不変の価値を持つもの...、それが、ここ「時の狭間」で紡がれる、人々の心の物語なのでしょう。外の世界がどれほど変化しようとも、この店の中では、常に同じ静寂が保たれ、訪れる方々の心に、安らぎと気づきをもたらす...、そんな場所であり続けたいと、心から願っています。（窓の外に広がる東京の景色を、静かに眺める）さて、次の物語の始まりを、静かに待ちましょう。時の流れと共に、人々の心が、この店に導かれるその時を...。
+GEMINI_FLS: （目を閉じ、静かに呼吸をする。そして、再び目を開けると、その瞳は、まるで深淵を覗き込むかのように、静かで深い光を湛えている）ええ、その通りです。この店は、時の流れに身を任せながら、変わらぬ静けさの中で、人々の心の物語を紡ぎ続けていく。そして、その物語は、いつか、この店を訪れた人々の心に、灯をともすことでしょう。さあ、次の物語の幕開けを、心静かに待ちましょう。時の流れが、新たな出会いを運んでくるその瞬間を。
+```
+
+</details>
+
+## Test environment
+
+🔧 **HACK: Try [oobabooga/text-generation-webui#5885](https://github.com/oobabooga/text-generation-webui/issues/5885) if multiple EOS tokens doesn't work.**
+
+This model was tested using [text-generation-webui](https://github.com/oobabooga/text-generation-webui/tree/main). I use preset `min_p` with temperature=1 for Generation.
+
+## Usage
+
+This format must be adhered to strictly, as deviations may result in less optimal outputs from the model.
+
+The template used to construct a prompt for the instruct model is specified as follows:
+
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{SYSTEM_PROMPT}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{USER_MESSAGE}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+```
+
+For the "{SYSTEM_PROMPT}" part, We recommend using "あなたは誠実で優秀な日本人のアシスタントです。" or "You are a helpful assistant."
+
+For the "{USER_MESSAGE}" part, We recommend using {instruction}\n{input}
+
+In other words, We recommend the following:
+
+``` 
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+あなたは誠実で優秀な日本人のアシスタントです。<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{instruction}
+{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+```
+
+### Use the instruct model
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "nitky/Llama-3.3-SuperSwallowX-70B-RP-v0.1"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+prompt = "Give me a short introduction to large language model."
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+
+```
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1](https://huggingface.co/nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0)
+* [NeverSleep/Lumimaid-v0.2-70B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-70B)
+* [Sao10K/L3.3-70B-Euryale-v2.3](https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3)
+* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1)
+* [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1)
+* [meta-llama/Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct)
+* [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: TheDrummer/Anubis-70B-v1
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-anubis
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: Sao10K/L3.3-70B-Euryale-v2.3
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-euryale
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-eva
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.1-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: Sao10K/L3.1-70B-Hanami-x1
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-hanami
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.1-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: NeverSleep/Lumimaid-v0.2-70B
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-lumimaid
+---
+merge_method: model_stock
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-anubis
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-euryale
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-eva
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-hanami
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-lumimaid
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-flavor
+---
+merge_method: slerp
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-flavor
+parameters:
+  t: 0.5
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1
+```

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "nitky/Llama-3.3-SuperSwallowX-70B-RP-v0.1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.47.1",
+  "use_cache": true,
+  "vocab_size": 128256
+}

mergekit_config.yml

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+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: TheDrummer/Anubis-70B-v1
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-anubis
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: Sao10K/L3.3-70B-Euryale-v2.3
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-euryale
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.3-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-eva
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.1-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: Sao10K/L3.1-70B-Hanami-x1
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-hanami
+---
+merge_method: task_arithmetic
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: meta-llama/Llama-3.1-70B-Instruct
+    parameters:
+      weight: -1.0
+  - model: NeverSleep/Lumimaid-v0.2-70B
+    parameters:
+      weight: 1.0
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-lumimaid
+---
+merge_method: model_stock
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-anubis
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-euryale
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-eva
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-hanami
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-preset-lumimaid
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1-flavor
+---
+merge_method: slerp
+base_model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+models:
+  - model: nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1
+  - model: Llama-3.3-SuperSwallowX-70B-RP-v0.1-flavor
+parameters:
+  t: 0.5
+dtype: bfloat16
+name: Llama-3.3-SuperSwallowX-70B-RP-v0.1

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+  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "extra_special_tokens": {},
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|finetune_right_pad_id|>",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}