Arxiv:1910.09700 Autotrain compatible Conversational En Endpoints compatible Finetuned Gemma Instruct Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/madhan2301/gemma-Instruct-Finetune-on-alpaca
Gemma Instruct Finetune On Alpaca 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 Instruct Finetune On Alpaca Parameters and Internals
| Model Type |
|
| LLM Name | Gemma Instruct Finetune On Alpaca |
| Repository 🤗 | https://huggingface.co/madhan2301/gemma-Instruct-Finetune-on-alpaca |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2024-12-23 |
| Maintainer | madhan2301 |
| Model Type | gemma |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GemmaForCausalLM |
| License | apache-2.0 |
| 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 Instruct Finetune On Alpaca
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 684 | 21 |
| Leniachat Gemma 2B V0 | 8K / 15.1 GB | 560 | 12 |
| ...ma Code Instruct Finetune Test | 8K / 5.1 GB | 10 | 0 |
| Gemma 2B It Customer Support | 8K / 10 GB | 495 | 1 |
| Gemma 2B Persona Instruct | 8K / 5.1 GB | 17 | 0 |
| ...ma Code Instruct Finetune Test | 8K / 5.1 GB | 14 | 0 |
| Gemma 2B Sft Preview | 8K / 5 GB | 22 | 0 |
| ...ma Code Instruct Finetune Test | 8K / 5.1 GB | 10 | 0 |
| Datagemma 2B | 8K / 5.1 GB | 17 | 0 |
| ...truct Finetune Test Mf Tuned 2 | 8K / 5.1 GB | 19 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than madhan2301/gemma-Instruct-Finetune-on-alpaca .
Rank the Gemma Instruct Finetune On Alpaca Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217