Qwen2 96M is an open-source language model by Felladrin. Features: 96m LLM, VRAM: 0.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.19.
Dataset:allenai/dolma Dataset:huggingfacefw/fineweb-... Dataset:neuml/wikipedia-202501... Dataset:skylion007/openwebtext En Qwen2 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Felladrin/Qwen2-96M
Qwen2 96M 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)
Qwen2 96M Parameters and Internals
| LLM Name | Qwen2 96M |
| Repository 🤗 | https://huggingface.co/Felladrin/Qwen2-96M |
| Model Size | 96m |
| Required VRAM | 0.2 GB |
| Updated | 2026-04-05 |
| Maintainer | Felladrin |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Rank the Qwen2 96M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a