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Qwen3.8 2B Distill by empero-ai

By empero-ai · 2056 downloads
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Qwen3.8 2B Distill is an open-source language model by empero-ai. Features: 2b LLM, VRAM: 4.5GB, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-2b   Conversational   Distillation   Edge   Empero-ai   En   Endpoints compatible   Function-calling   Image-text-to-text   Qwen3.5   Qwen3.8   Qwen3 5   Reasoning   Region:us   Safetensors   Sft
Model Card on HF 🤗: https://huggingface.co/empero-ai/Qwen3.8-2B-Distill 

Qwen3.8 2B Distill Parameters and Internals

LLM NameQwen3.8 2B Distill
Repository 🤗https://huggingface.co/empero-ai/Qwen3.8-2B-Distill 
Base Model(s)  Qwen/Qwen3.5-2B   Qwen/Qwen3.5-2B
Model Size2b
Required VRAM4.5 GB
Updated2026-08-20
Maintainerempero-ai
Model Typeqwen3_5
Model Files  4.5 GB   0.0 GB
Supported Languagesen
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

Quantized Models of the Qwen3.8 2B Distill

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VRAM
Qwen3.8 2B Distill Mlx 5Bit13871 GB

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Note: green Score (e.g. "73.2") means that the model is better than empero-ai/Qwen3.8-2B-Distill.