Arxiv:1910.09700 4bit Adapter Base model:adapter:unsloth/gem... Base model:unsloth/gemma-7b-bn... Finetuned Lora Peft Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/ai-anytime/Gemma7b-SFT
Gemma7b SFT 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)
Gemma7b SFT Parameters and Internals
| LLM Name | Gemma7b SFT |
| Repository 🤗 | https://huggingface.co/ai-anytime/Gemma7b-SFT |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2025-02-05 |
| Maintainer | skuma307 |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj|k_proj|o_proj|up_proj|down_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Gemma7b SFT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Atomgpt Mistral Tc Supercon | 0K / 0.2 GB | 177 | 3 |
| ...hat Hf Hotel Booking Assistant | 0K / 0.2 GB | 6 | 0 |
| Mistral Numericnlg FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Wikitable FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Charttotext FV | 0K / 0.3 GB | 5 | 0 |
| Gemma 7B Us Minecraft | 0K / 0 GB | 29 | 0 |
| Gemma7b SFT | 0K / 0 GB | 19 | 0 |
| RP Format Test | 0K / 0.7 GB | 3 | 4 |
| Synthetic Soul 1k Mistral 128 | 0K / 1.3 GB | 54 | 0 |
| Mistral Ielts Evaluation Base | 0K / 0.2 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ai-anytime/Gemma7b-SFT .
Rank the Gemma7b SFT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227