LLM EXPLORER 57,252 MODELS INDEXED

Qwen3.6 27B AWQ BF16 INT4 by cyankiwi

By cyankiwi · 419171 downloads

Qwen3.6 27B AWQ BF16 INT4 is an open-source language model by cyankiwi. Features: 27b LLM, VRAM: 28.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

  Awq Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Compressed-tensors   Conversational   Endpoints compatible   Image-text-to-text   Quantized   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen3.6 27B AWQ BF16 INT4 Parameters and Internals

LLM NameQwen3.6 27B AWQ BF16 INT4
Repository πŸ€—https://huggingface.co/cyankiwi/Qwen3.6-27B-AWQ-BF16-INT4 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM28.3 GB
Updated2026-08-09
Maintainercyankiwi
Model Typeqwen3_5
Model Files  5.4 GB: 1-of-6   4.3 GB: 2-of-6   5.3 GB: 3-of-6   5.4 GB: 4-of-6   5.3 GB: 5-of-6   2.6 GB: 6-of-6
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

Best Alternatives to Qwen3.6 27B AWQ BF16 INT4

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3.6 27B AWQ INT40K / 20.4 GB2563390103
Qwen3.6 27B AWQ0K / 22 GB66892424
Qwen3.6 27B AWQ 4bit0K / 18.7 GB672803
Blossom V6.4 27B 9bit AWQ0K / 31.2 GB1531
Qwen3.6 27B OptiQ 4bit256K / 18.7 GB1306559
Bonsai 27B Mlx 1bit0K / 5.1 GB809309205
Ternary Bonsai 27B Mlx 2bit0K / 8.5 GB809024168
Qwen3.6 27B MLX 8bit0K / 29.4 GB87914514
Qwen3.6 27B MLX 6bit0K / 22.7 GB8129772
Qwen3.6 27B MLX 4bit0K / 16 GB84686116
Note: green Score (e.g. "73.2") means that the model is better than cyankiwi/Qwen3.6-27B-AWQ-BF16-INT4.