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AI Models 84759
- Qwen3.8-35B-A3B-Distill-MLX-APEX-MiniPlus-Abliterated↗
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. APEX MLX Variants 2. Fidelity Verification 3. Quality Spectrum: APEX MLX MiniPlus vs. NanoPlus 4. Model Files & Technical Specifications 5. Surgical Tensor Quantization Map 6. Apple Silicon Unified Memory & Context 7. Recommended Configuration & Setup 8. Recommended Generation Parameters 9. CRITICAL: Coding Syntax & Repeat Penalty Advisory 10. Native Chat Template 11. 7. Community Compute Fund & Student Support > [!WARNING] > ### Known Upstream Long-Generation Limitation > The upstream Qwen3.8-35B-A3B-Distill checkpoint can repeat during very long responses, including after the ` ` block. This behavior originates upstream and is **not specific to the MLX APEX quantization**.
- genpatsu-ai-8b-GGUF↗
kukutan
- Qwen3.8-Flash-Next-Uncensored-NVFP4-AWQ-GPTQ↗
lambsea
- DarkSapling-7B-v2.0-GGUF-IQ-Imatrix↗
Lewdiculous
- L3-8B-Stheno-v3.2-GGUF-IQ-Imatrix↗
Lewdiculous
My GGUF-IQ-Imatrix quants for Sao10K/L3-8B-Stheno-v3.2. **Sao10K** with Stheno again, another banger! I recommend checking his page for feedback and support. > [!IMPORTANT] > **Quantization process:** > For future reference, these quants have been done after the fixes from **#6920** have been merged. > Imatrix data was generated from the FP16-GGUF and conversions directly from the BF16-GGUF. > This was a bit more disk and compute intensive but hopefully avoided any losses during conversion. > If you noticed any issues let me know in the discussions.
- MergeStove2.5D↗
LieDeath
- codegemma-7b-GGUF↗
lmstudio-community
- Qwen3-235B-A22B-Instruct-2507-MLX-8bit↗
lmstudio-community
- Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-iMatrix-MTP-GGUF↗
markmonger
- minimax-h3-turnaround↗
matlod