モデル情報

Cyber-Tiel-Coder-35B-A3B-MTP-TTQ-GGUF

TokenTinkerer · Cyber-Tiel-Coder-35B-A3B-MTP-TTQ-GGUF

**TTQ** (TokenTinkerer Quant) is a ten-rung GGUF ladder built from peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP, from 3.34 bpw to 6.64 bpw. Every rung is **tensor-for-tensor the same shape** as our published Qwen3.6-35B-A3B TTQ ladder — the same ten ftypes in the same places on 733 body tensors — with the model's grafted MTP head carried at the precision upstream ships it. Every claim below is a measurement, not an estimate. > ⚠️ **This is a quant of an abliterated (uncensored) model.** It inherits CyberTiel's behaviour and > its usage warnings: it will not refuse, and with tool access it can do real harm. Read > the base model card > before running it, and sandbox it at the OS level. > **Source caveat — there is no full-precision release of this model.** The ladder is built from > upstream's highest rung, `UD-Q8_K_XL` (~8.6 bpw), which is therefore **both** the requantization > source for every file here **and** the reference against which all KLD figures are measured. Two > consequences: every quality number is relative to *that file* rather than to true full precision, > and an unknown fraction of each divergence is inherited from it. Comparisons *between* files remain > valid — they share one reference — and the same caveat applies to our Qwen TTQ ladder.

翻訳待ちのため原文を表示しています。

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2026/10/31 05:07:55
OVERVIEW

モデル紹介

**TTQ** (TokenTinkerer Quant) is a ten-rung GGUF ladder built from peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP, from 3.34 bpw to 6.64 bpw. Every rung is **tensor-for-tensor the same shape** as our published Qwen3.6-35B-A3B TTQ ladder — the same ten ftypes in the same places on 733 body tensors — with the model's grafted MTP head carried at the precision upstream ships it. Every claim below is a measurement, not an estimate. > ⚠️ **This is a quant of an abliterated (uncensored) model.** It inherits CyberTiel's behaviour and > its usage warnings: it will not refuse, and with tool access it can do real harm. Read > the base model card > before running it, and sandbox it at the OS level. > **Source caveat — there is no full-precision release of this model.** The ladder is built from > upstream's highest rung, `UD-Q8_K_XL` (~8.6 bpw), which is therefore **both** the requantization > source for every file here **and** the reference against which all KLD figures are measured. Two > consequences: every quality number is relative to *that file* rather than to true full precision, > and an unknown fraction of each divergence is inherited from it. Comparisons *between* files remain > valid — they share one reference — and the same caveat applies to our Qwen TTQ ladder.

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:mit。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。