Model Card on HF 🤗: https://huggingface.co/mlx-community/quantized-gemma-2b-it
Quantized Gemma 2B It 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)
Quantized Gemma 2B It Parameters and Internals
| Additional Notes |
|
| LLM Name | Quantized Gemma 2B It |
| Repository 🤗 | https://huggingface.co/mlx-community/quantized-gemma-2b-it |
| Model Size | 2b |
| Required VRAM | 2.2 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.0 |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Quantized Gemma 2B It
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 250244 | 167 |
| Codegemma 2B | 8K / 5.1 GB | 23539 | 86 |
| Gita SastraGPT V1 | 8K / 5.1 GB | 27 | 1 |
| Caca Tinny 2B V3 | 8K / 5.1 GB | 4 | 1 |
| Pandas Tutor Gemma 2B | 8K / 5.1 GB | 9 | 1 |
| Gemma Qlora Customer Support | 8K / 5.1 GB | 9 | 0 |
| Octopus V2 | 8K / 5.1 GB | 1387 | 885 |
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 1253 | 25 |
| Octopus V2 | 8K / 5.1 GB | 682 | 890 |
| Gemma Ko 1.1 2B It | 8K / 5.1 GB | 648 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/quantized-gemma-2b-it .
Rank the Quantized Gemma 2B It Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124