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Qwen3.8 9B Distill Mlx 5Bit by keXjos

By keXjos · 540 downloads

Qwen3.8 9B Distill Mlx 5Bit is an open-source language model by keXjos. Features: 9b LLM, VRAM: 6.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

  5-bit   5bit Base model:empero-ai/qwen3.8-9... Base model:quantized:empero-ai...   Conversational   Distillation   Empero-ai   En   Endpoints compatible   Function-calling   Image-text-to-text   Mlx   Mlx-my-repo   Quantized   Qwen3.5   Qwen3.8   Qwen3 5   Reasoning   Region:us   Safetensors   Sft   Sharded   Tensorflow

Qwen3.8 9B Distill Mlx 5Bit Parameters and Internals

LLM NameQwen3.8 9B Distill Mlx 5Bit
Repository πŸ€—https://huggingface.co/keXjos/Qwen3.8-9B-Distill-mlx-5Bit 
Base Model(s)  empero-ai/Qwen3.8-9B-Distill   empero-ai/Qwen3.8-9B-Distill
Model Size9b
Required VRAM6.1 GB
Updated2026-08-24
MaintainerkeXjos
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-2   0.8 GB: 2-of-2
Supported Languagesen
Quantization Type5bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than keXjos/Qwen3.8-9B-Distill-mlx-5Bit.