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ThinkingCap Qwen3.8 27B MLX 4bit DWQ by bottlecapai

By bottlecapai · 674 downloads

ThinkingCap Qwen3.8 27B MLX 4bit DWQ is an open-source language model by bottlecapai. Features: 27b LLM, VRAM: 21.1GB, License: other, Quantized, LLM Explorer Score: 0.37.

  4-bit   4bit   Apple-silicon Base model:bottlecapai/thinkin... Base model:quantized:bottlecap...   Conversational   Image-text-to-text   Mlx   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

ThinkingCap Qwen3.8 27B MLX 4bit DWQ Parameters and Internals

LLM NameThinkingCap Qwen3.8 27B MLX 4bit DWQ
Repository πŸ€—https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.8-27B-MLX-4bit-DWQ 
Base Model(s)  bottlecapai/ThinkingCap-Qwen3.8-27B   bottlecapai/ThinkingCap-Qwen3.8-27B
Model Size27b
Required VRAM21.1 GB
Updated2026-09-27
Maintainerbottlecapai
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-4   5.4 GB: 2-of-4   5.3 GB: 3-of-4   5.1 GB: 4-of-4   0.9 GB   0.5 GB
Quantization Type4bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseother
Model Max Length262144
Transformers Version5.8.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Qwen3.8 27B MLX 5bit0K / 19.5 GB46750442
...onsai 2 27B CRACK Ternary JANG0K / 8.1 GB268913
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Note: green Score (e.g. "73.2") means that the model is better than bottlecapai/ThinkingCap-Qwen3.8-27B-MLX-4bit-DWQ.