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: 0.16.
Arxiv:2410.17215 Conversational Dataset:minillm/pile-tokenized Dataset:monology/pile-uncopyri... En Endpoints compatible Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MiniLLM/Pretrain-Qwen-200M
Pretrain Qwen 200M Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Pretrain Qwen 200M Parameters and Internals
| LLM Name | Pretrain Qwen 200M |
| Repository 🤗 | https://huggingface.co/MiniLLM/Pretrain-Qwen-200M |
| Model Size | 200m |
| Required VRAM | 0.8 GB |
| Updated | 2026-04-20 |
| Maintainer | MiniLLM |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Rank the Pretrain Qwen 200M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a