Tiel-Coder-35B-A3B-APEX-I-NanoPlus-GGUF

モデル紹介

**Independently computed using dedicated cloud compute clusters, funded 100% out-of-pocket.** If you consider these releases to be of high quality and they help you in your day-to-day workflow, consider supporting on Ko-fi. Every contribution directly sustains future cloud compute hours and helps support my university studies. 1. Optimization History & Transparency Notice 2. Independent Community Benchmarks (OMP Harness #01 Rank - 98.8%) 3. Quality Spectrum: APEX-I-NanoPlus vs. Standard Flat Quantizations 4. Model Files & Technical Specifications 5. Surgical Tensor Quantization Map (Audited from GGUF) 6. Inference Quickstart 7. 1. llama-cli (Console Generation) 8. 2. llama-server (OpenAI-Compatible API) 9. CRITICAL: Coding Syntax & Repeat Penalty Advisory (Preventing Character Swapping) 10. Hardened Agentic Chat Template & Reasoning Effort 11. Optional Support > [!NOTE] > ### 🚀 EXPLORE THE ESTABLISHED 35B MoE MINIPLUS & NANOPLUS LINEUP > These are complementary APEX-I releases, not alternate downloads of the same model. Each receives the same surgical tensor-by-tensor approach and a design suitable for full or partial system-RAM inference: > > - **Tiel-Coder-35B-A3B APEX-I-MiniPlus-V2.1** — specialist agentic coding MoE tuned for high-speed local development (15.23 GB / Q5–Q6 quality). > - **Qwen3.6-35B-A3B-MTP APEX-I-NanoPlus** — the approx. 13.0 GB NanoPlus pioneer achieving Q4 quality at 2.93 BPW. > - **Ornith 1.5 APEX-I-NanoPlus** — software-engineering-focused MoE streamlined for ultra-lean memory footprints. > - **Occamy-1.0 APEX-I-NanoPlus** — versatile frontier MoE for deep research and multimodal tasks.

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。

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。

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。

よくある質問

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。