Gemma 4 E2b It Hybrid Mlx is an open-source language model by Cactus-Compute. Features: 723.5m LLM, VRAM: 2.6GB, Context: 128K, License: gemma, LLM Explorer Score: 0.31.
4-bit Base model:cactus-compute/gemm... Base model:quantized:cactus-co... Conversational Custom code Gemma-4-e2b-it-hybrid Gemma4 Handoff Hybrid Mlx Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Cactus-Compute/gemma-4-e2b-it-hybrid-mlx
Gemma 4 E2b It Hybrid Mlx 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)
Gemma 4 E2b It Hybrid Mlx Parameters and Internals
| LLM Name | Gemma 4 E2b It Hybrid Mlx |
| Repository 🤗 | https://huggingface.co/Cactus-Compute/gemma-4-e2b-it-hybrid-mlx |
| Base Model(s) | |
| Model Size | 723.5m |
| Required VRAM | 2.6 GB |
| Updated | 2026-07-23 |
| Maintainer | Cactus-Compute |
| Model Type | gemma-4-e2b-it-hybrid |
| Model Files | |
| Model Architecture | Gemma4E2BItHybridForCausalLM |
| License | gemma |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 262144 |
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a