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Qwen3.8 23B Mini Me 8bit by StargazerLabs

By StargazerLabs · 94 downloads

Qwen3.8 23B Mini Me 8bit is an open-source language model by StargazerLabs. Features: 23b LLM, VRAM: 24.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

  8-bit   8bit Base model:quantized:stargazer... Base model:stargazerlabs/qwen3...   Conversational   Image-text-to-text   Layer-pruning   Mlx   Quantized   Qwen3.8   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow

Qwen3.8 23B Mini Me 8bit Parameters and Internals

LLM NameQwen3.8 23B Mini Me 8bit
Repository πŸ€—https://huggingface.co/StargazerLabs/Qwen3.8-23B-Mini-Me-8bit 
Base Model(s)  StargazerLabs/Qwen3.8-23B-Mini-Me-bf16   StargazerLabs/Qwen3.8-23B-Mini-Me-bf16
Model Size23b
Required VRAM24.5 GB
Updated2026-08-21
MaintainerStargazerLabs
Model Typeqwen3_5
Model Files  5.3 GB: 1-of-5   5.3 GB: 2-of-5   5.3 GB: 3-of-5   5.3 GB: 4-of-5   3.3 GB: 5-of-5
Quantization Type8bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version5.8.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than StargazerLabs/Qwen3.8-23B-Mini-Me-8bit.