Tiny Random Qwen1.5 MoE is an open-source language model by katuni4ka. Features: 9.9m LLM, Context: 0.3K, MoE, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe
Tiny Random Qwen1.5 MoE 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)
Tiny Random Qwen1.5 MoE Parameters and Internals
| LLM Name | Tiny Random Qwen1.5 MoE |
| Repository 🤗 | https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe |
| Model Size | 9.9m |
| Required VRAM | 0 GB |
| Updated | 2026-04-24 |
| Maintainer | katuni4ka |
| Model Type | qwen2_moe |
| Model Files | |
| Model Architecture | Qwen2MoeForCausalLM |
| Context Length | 256 |
| Model Max Length | 256 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Rank the Tiny Random Qwen1.5 MoE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a