Recurrentgemma 2B It Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 2b LLM, VRAM: 2.5GB, Quantized, LLM Explorer Score: 0.13.
Model Card on HF 🤗: https://huggingface.co/PrunaAI/recurrentgemma-2b-it-bnb-4bit-smashed
Recurrentgemma 2B It Bnb 4bit Smashed 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)
Recurrentgemma 2B It Bnb 4bit Smashed Parameters and Internals
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| LLM Name | Recurrentgemma 2B It Bnb 4bit Smashed |
| Repository 🤗 | https://huggingface.co/PrunaAI/recurrentgemma-2b-it-bnb-4bit-smashed |
| Model Size | 2b |
| Required VRAM | 2.5 GB |
| Updated | 2025-09-23 |
| Maintainer | PrunaAI |
| Model Type | recurrent_gemma |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | RecurrentGemmaForCausalLM |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Recurrentgemma 2B It Bnb 4bit Smashed
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Recurrentgemma 2B | 0K / 10.8 GB | 6489 | 96 |
| Recurrentgemma 2B It | 0K / 5.4 GB | 3066 | 112 |
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/recurrentgemma-2b-it-bnb-4bit-smashed .
Rank the Recurrentgemma 2B It Bnb 4bit Smashed Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a