100epoch Gemma Code Finetune Test is an open-source language model by Phanindra-max. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, Fine-Tuned, LLM Explorer Score: 0.15.
Arxiv:1910.09700 Conversational Endpoints compatible Finetuned Gemma Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Phanindra-max/100epoch-gemma-Code-Finetune-test
100epoch Gemma Code Finetune Test 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)
100epoch Gemma Code Finetune Test Parameters and Internals
| LLM Name | 100epoch Gemma Code Finetune Test |
| Repository 🤗 | https://huggingface.co/Phanindra-max/100epoch-gemma-Code-Finetune-test |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2025-12-18 |
| Maintainer | Phanindra-max |
| 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 100epoch Gemma Code Finetune Test
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 54640 | 169 |
| Codegemma 2B | 8K / 5.1 GB | 23539 | 86 |
| Gita SastraGPT V1 | 8K / 5.1 GB | 2 | 1 |
| Caca Tinny 2B V3 | 8K / 5.1 GB | 4 | 1 |
| Pandas Tutor Gemma 2B | 8K / 5.1 GB | 9 | 1 |
| Gemma Qlora Customer Support | 8K / 5.1 GB | 14 | 0 |
| Octopus V2 | 8K / 5.1 GB | 1387 | 885 |
| Octopus V2 | 8K / 5.1 GB | 638 | 891 |
| EMO 2B | 8K / 5.1 GB | 1329 | 2 |
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 122 | 25 |
Note: green Score (e.g. "73.2") means that the model is better than Phanindra-max/100epoch-gemma-Code-Finetune-test .
Rank the 100epoch Gemma Code Finetune Test Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b