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Qwen3.8 2B MLX 4.83B by dalatexcoder

By dalatexcoder · 281 downloads

Qwen3.8 2B MLX 4.83B is an open-source language model by dalatexcoder. Features: 2b LLM, VRAM: 1.3GB, License: apache-2.0, LLM Explorer Score: 0.31.

  4-bit Base model:empero-ai/qwen3.8-2... Base model:quantized:empero-ai...   Conversational   Distillation   Edge   Empero-ai   En   Function-calling   Mlx   Qwen3.5   Qwen3.8   Qwen3 5   Reasoning   Region:us   Safetensors   Sft

Qwen3.8 2B MLX 4.83B Parameters and Internals

LLM NameQwen3.8 2B MLX 4.83B
Repository πŸ€—https://huggingface.co/dalatexcoder/Qwen3.8-2B-MLX-4.83B 
Base Model(s)  empero-ai/Qwen3.8-2B-Distill   empero-ai/Qwen3.8-2B-Distill
Model Size2b
Required VRAM1.3 GB
Updated2026-09-23
Maintainerdalatexcoder
Model Typeqwen3_5
Model Files  1.3 GB
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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