Gemma 2B It Fine Tune Email Spam is an open-source language model by JrX44. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, LLM Explorer Score: 0.14.
Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/JrX44/gemma-2b-it-fine-tune-email-spam
Gemma 2B It Fine Tune Email Spam 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 2B It Fine Tune Email Spam Parameters and Internals
| LLM Name | Gemma 2B It Fine Tune Email Spam |
| Repository 🤗 | https://huggingface.co/JrX44/gemma-2b-it-fine-tune-email-spam |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2025-09-23 |
| Maintainer | JrX44 |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Gemma 2B It Fine Tune Email Spam
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 80705 | 172 |
| Gemma 1.1 2B It | 8K / 5 GB | 179 | 3 |
| Codegemma 2B | 8K / 5.1 GB | 11746 | 97 |
| Gita SastraGPT V1 | 8K / 5.1 GB | 8 | 1 |
| Caca Tinny 2B V3 | 8K / 5.1 GB | 4 | 1 |
| Pandas Tutor Gemma 2B | 8K / 5.1 GB | 4 | 1 |
| Gemma Qlora Customer Support | 8K / 5.1 GB | 20 | 0 |
| Octopus V2 | 8K / 5.1 GB | 1387 | 885 |
| Octopus V2 | 8K / 5.1 GB | 478 | 890 |
| Bge Reranker V2 Gemma | 8K / 10 GB | 23186 | 83 |
Note: green Score (e.g. "73.2") means that the model is better than JrX44/gemma-2b-it-fine-tune-email-spam .
Rank the Gemma 2B It Fine Tune Email Spam Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a