Gemma3 ColdBrew Lorenz is an open-source language model by SvalTek. Features: 11.8b LLM, VRAM: 23.4GB, Context: 128K, Merged, LLM Explorer Score: 0.19.
Merged Model Base model:svaltek/gemma3-cold... Base model:theros/gemma-3-cold... Conversational Endpoints compatible Gemma3 text Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/SvalTek/Gemma3-ColdBrew-Lorenz
Gemma3 ColdBrew Lorenz 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)
Gemma3 ColdBrew Lorenz Parameters and Internals
| LLM Name | Gemma3 ColdBrew Lorenz |
| Repository 🤗 | https://huggingface.co/SvalTek/Gemma3-ColdBrew-Lorenz |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 11.8b |
| Required VRAM | 23.4 GB |
| Updated | 2026-04-16 |
| Maintainer | SvalTek |
| Model Type | gemma3_text |
| Model Files | |
| Model Architecture | Gemma3ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 262145 |
| LoRA Model | Yes |
| Torch Data Type | bfloat16 |
Rank the Gemma3 ColdBrew Lorenz Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a