Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 is an open-source language model by hsng95. Features: 26b LLM, VRAM: 15.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.
3-bit Apple-silicon Awq Base model:google/gemma-4-26b-... Base model:quantized:google/ge... Conversational En Gemma Gemma4 Imatrix Ko Korean Mixed-precision Mlx Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/hsng95/gemma-4-26b-a4b-mlx-imatrix3plus-awq-high6-top40
Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 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 26B A4b Mlx Imatrix3plus AWQ High6 Top40 Parameters and Internals
| LLM Name | Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 |
| Repository 🤗 | https://huggingface.co/hsng95/gemma-4-26b-a4b-mlx-imatrix3plus-awq-high6-top40 |
| Base Model(s) | |
| Model Size | 26b |
| Required VRAM | 15.5 GB |
| Updated | 2026-05-28 |
| Maintainer | hsng95 |
| Model Type | gemma4 |
| Model Files | |
| Supported Languages | ko en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Gemma4ForConditionalGeneration |
| License | apache-2.0 |
| Transformers Version | 5.5.0.dev0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
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Note: green Score (e.g. "73.2") means that the model is better than hsng95/gemma-4-26b-a4b-mlx-imatrix3plus-awq-high6-top40 .
Rank the Gemma 4 26B A4b Mlx Imatrix3plus AWQ High6 Top40 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a