サイト内検索

AI モデル 84759

• seahorse-xxl-q6↗

  Google

• phonon-40m-pt↗

  gradium

• Qwen3.5-9B↗

  hamishivi

• chinese-electra-180g-large-discriminator↗

  hfl

• Qwen3-Embedding-8B-4bit-MLX↗

  huynguyendbs

• ghostai-pro↗

  immortaltatsu

• waiNSFWIllustrious_v100↗

  Ine007

• Agent-FLAN-7b↗

  internlm

• Ornith-1.5-35B-A3B-APEX-I-NanoPlus-GGUF↗

  IsValorum

  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. Quality Spectrum: APEX-I-NanoPlus vs. Standard Flat Quantizations 3. Model Files & Technical Specifications 4. Surgical Tensor Quantization Map (Audited from GGUF) 5. Inference Quickstart 6. 1. llama-cli (Console Generation) 7. 2. llama-server (OpenAI-Compatible API) 8. CRITICAL: Coding Syntax & Repeat Penalty Advisory (Preventing Character Swapping) 9. Hardened Agentic Chat Template 10. 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: > > - **Ornith-1.5-35B-A3B APEX-I-MiniPlus-V2.1** — software-engineering-focused MoE designed for repository-scale coding and autonomous engineering agents (15.23 GB / Q5_K_L tier, bordering Q6_K). > - **Qwen3.6-35B-A3B-MTP APEX-I-NanoPlus** — the approx. 13.0 GB NanoPlus pioneer achieving Q4 quality at 2.93 BPW. > - **Occamy-1.0 APEX-I-NanoPlus** — versatile frontier MoE for deep research and multimodal tasks.

• true-pencil-xl-v100-sdxl↗

  John6666