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Pretrain Qwen 200M by MiniLLM

By MiniLLM · 22 downloads

Pretrain Qwen 200M is an open-source language model by MiniLLM. Features: 200m LLM, VRAM: 0.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.15.

  Arxiv:2410.17215   Conversational   Dataset:minillm/pile-tokenized Dataset:monology/pile-uncopyri...   En   Endpoints compatible   Qwen2   Region:us   Safetensors

Pretrain Qwen 200M Parameters and Internals

LLM NamePretrain Qwen 200M
Repository πŸ€—https://huggingface.co/MiniLLM/Pretrain-Qwen-200M 
Model Size200m
Required VRAM0.8 GB
Updated2026-07-31
MaintainerMiniLLM
Model Typeqwen2
Model Files  0.8 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace