GPQA-verified mixed-precision MLX quants of Qwen3.6 for Apple Silicon — ThinkingCap 4.6bpw beats the official Q4_K_M at smaller size.
ALISVOLATPROPRIIS
avlp12
AI & ML interests
MLX quantization, Apple Silicon inference, MoE models, local LLM deployment, medical AI, geopolitical early warning systems, humanoid robotics, semiconductor/memory markets, multi-agent systems
Recent Activity
updated a collection 2 days ago
Qwen3.6 — Alis MLX Dynamic updated a collection 2 days ago
Qwen3.6 — Alis MLX Dynamic updated a collection 2 days ago
Qwen3.6 — Alis MLX DynamicOrganizations
None yet
Traced MLX port of ByteDance Lance + the frozen PyTorch source mirror (verification reference).
Pure-MLX port of the 12.9B image DiT — 8-bit reference and the smaller mixed 4/8 build.
Same base model and 3.6 bpw quantization — text-only primary plus the vision add-on.
Field guide to all Alis ports: frontier MoE quants, image DiTs and multimodal ports — MLX-native on Apple Silicon.
Civitai checkpoint converted for mflux — 8-bit and 4-bit builds of the same weights.
One base model, four packagings: MLX dynamic 2.6 bpw (text/VLM) and the Ultra GGUF variants.
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avlp12/Qwen3.5-35B-A3B-Alis-MLX-Dynamic-2.6bpw
Text Generation • 35B • Updated • 132 • 1 -
avlp12/Qwen3.5-35B-A3B-Alis-MLX-Dynamic-2.6bpw-VLM
Image-Text-to-Text • 4B • Updated • 114 -
avlp12/Qwen3.5-35B-A3B-Alis-Ultra-GGUF
Text Generation • 35B • Updated • 322 • 2 -
avlp12/Qwen3.5-35B-A3B-Alis-Ultra-Slim-GGUF
Text Generation • 35B • Updated • 299 • 1
One base model (GLM-5.2 744B MoE), four MLX quant builds from 512 GB-class to the 256 GB floor — plus the GLM-5.1 benchmark baseline.
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avlp12/GLM-5.2-Alis-MLX-Dynamic-4.5bpw
Text Generation • 743B • Updated • 1.06k • 1 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-3.5bpw
Text Generation • 753B • Updated • 10.8k • 6 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-2.56bpw
Text Generation • 753B • Updated • 6.92k • 2 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-2.3bpw
Text Generation • 743B • Updated • 970
GPQA-verified mixed-precision MLX quants of Qwen3.6 for Apple Silicon — ThinkingCap 4.6bpw beats the official Q4_K_M at smaller size.
Field guide to all Alis ports: frontier MoE quants, image DiTs and multimodal ports — MLX-native on Apple Silicon.
Traced MLX port of ByteDance Lance + the frozen PyTorch source mirror (verification reference).
Civitai checkpoint converted for mflux — 8-bit and 4-bit builds of the same weights.
Pure-MLX port of the 12.9B image DiT — 8-bit reference and the smaller mixed 4/8 build.
One base model, four packagings: MLX dynamic 2.6 bpw (text/VLM) and the Ultra GGUF variants.
-
avlp12/Qwen3.5-35B-A3B-Alis-MLX-Dynamic-2.6bpw
Text Generation • 35B • Updated • 132 • 1 -
avlp12/Qwen3.5-35B-A3B-Alis-MLX-Dynamic-2.6bpw-VLM
Image-Text-to-Text • 4B • Updated • 114 -
avlp12/Qwen3.5-35B-A3B-Alis-Ultra-GGUF
Text Generation • 35B • Updated • 322 • 2 -
avlp12/Qwen3.5-35B-A3B-Alis-Ultra-Slim-GGUF
Text Generation • 35B • Updated • 299 • 1
Same base model and 3.6 bpw quantization — text-only primary plus the vision add-on.
One base model (GLM-5.2 744B MoE), four MLX quant builds from 512 GB-class to the 256 GB floor — plus the GLM-5.1 benchmark baseline.
-
avlp12/GLM-5.2-Alis-MLX-Dynamic-4.5bpw
Text Generation • 743B • Updated • 1.06k • 1 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-3.5bpw
Text Generation • 753B • Updated • 10.8k • 6 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-2.56bpw
Text Generation • 753B • Updated • 6.92k • 2 -
avlp12/GLM-5.2-Alis-MLX-Dynamic-2.3bpw
Text Generation • 743B • Updated • 970