Gemma Summarizer 2B It LORA Bnb 4bit is an open-source language model by WillisBack. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.
4-bit 4bit Base model:adapter:unsloth/gem... Base model:unsloth/gemma-2b-it... Bitsandbytes Conversational Endpoints compatible Fr Gemma Lora Quantized Region:us Safetensors Summarizer Unsloth
Model Card on HF 🤗: https://huggingface.co/WillisBack/gemma-Summarizer-2b-it-LORA-bnb-4bit
Gemma Summarizer 2B It LORA Bnb 4bit 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 Summarizer 2B It LORA Bnb 4bit Parameters and Internals
| LLM Name | Gemma Summarizer 2B It LORA Bnb 4bit |
| Repository 🤗 | https://huggingface.co/WillisBack/gemma-Summarizer-2b-it-LORA-bnb-4bit |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 0.1 GB |
| Updated | 2026-05-25 |
| Maintainer | WillisBack |
| Model Files | |
| Supported Languages | fr |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|o_proj|up_proj|q_proj|v_proj|k_proj|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Gemma Summarizer 2B It LORA Bnb 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hellfire 2B | 0K / 0.3 GB | 1083 | 1 |
| Gemma 1.1 QG V.2.0 | 0K / 5.1 GB | 8 | 0 |
| Gemma2 Financial | 0K / 5.1 GB | 6 | 1 |
| ...Summarizer 2B It LORA Bnb 4bit | 0K / 0.1 GB | 6 | 1 |
| Gemma 2B Hinglish LORA V1.0 | 0K / 5.1 GB | 8 | 0 |
| Gemma 2 Baku 2B | 8K / 10.5 GB | 112 | 7 |
| Gemma 2B It | 0K / 5.1 GB | 7 | 0 |
| Caca Tinny 2B V2 | 0K / 5.1 GB | 5 | 0 |
| Gemma 2 2B It Chat Lessons | 0K / 5.2 GB | 7 | 0 |
| Gemma 2 2B It Chat Doctor | 0K / 5.2 GB | 9 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than WillisBack/gemma-Summarizer-2b-it-LORA-bnb-4bit .
Rank the Gemma Summarizer 2B It LORA Bnb 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a