Gemma 7B Custom Tokenizer Base 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 7B Custom Tokenizer Base Parameters and Internals
| LLM Name | Gemma 7B Custom Tokenizer Base |
| Repository 🤗 | https://huggingface.co/PolyAgent/gemma-7b-custom-tokenizer-base |
| Model Size | 7b |
| Required VRAM | 34 GB |
| Updated | 2024-10-16 |
| Maintainer | PolyAgent |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| License | gemma |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
Best Alternatives to Gemma 7B Custom Tokenizer Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Kaggle Math Model Gemma V1 | 12K / 17.1 GB | 6 | 0 |
| Gemma 1.1 7B It | 8K / 17.1 GB | 14547 | 263 |
| SeaLLM 7B V2.5 | 8K / 17.1 GB | 11385 | 48 |
| Zephyr 7B Gemma V0.1 | 8K / 17.1 GB | 644 | 122 |
| Codegemma 7B | 8K / 17.1 GB | 10170 | 161 |
| Codegemma 7B It | 8K / 17.1 GB | 7251 | 191 |
| SauerkrautLM Gemma 7B | 8K / 17.1 GB | 6300 | 13 |
| DiscoPOP Zephyr 7B Gemma | 8K / 17.1 GB | 3834 | 36 |
| FiLLM2 POSDEPPARS | 8K / 17.1 GB | 39 | 0 |
| Gemma Mling 7B | 8K / 17.8 GB | 1703 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than PolyAgent/gemma-7b-custom-tokenizer-base .
Rank the Gemma 7B Custom Tokenizer Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803