Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Finetuned Generated from trainer Lora Peft Region:us Safetensors Sft Trl
Ft Google Gemma 2B It Qlora 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)
Ft Google Gemma 2B It Qlora Parameters and Internals
| LLM Name | Ft Google Gemma 2B It Qlora |
| Repository 🤗 | https://huggingface.co/ALBADDAWI/ft-google-gemma-2b-it-qlora |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 4.3 GB |
| Updated | 2024-09-18 |
| Maintainer | ALBADDAWI |
| Model Files | |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|k_proj|o_proj|v_proj|up_proj|gate_proj|q_proj |
| LoRA Alpha | 18 |
| LoRA Dropout | 0.1 |
| R Param | 18 |
Quantized Models of the Ft Google Gemma 2B It Qlora
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| Gemma 2B It Q | 1 | 10 | 1 GB |
Best Alternatives to Ft Google Gemma 2B It Qlora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Finetuned Gemma3 | 8K / 5.1 GB | 6 | 0 |
| Gemma 2 2B It Ud | 0K / 0 GB | 42 | 2 |
| Phi Gemma Nlaf V1 | 0K / 0.1 GB | 6 | 0 |
| Phi Gemma Nlaf V0 | 0K / 0.1 GB | 5 | 0 |
| Gemma 2B It Nlai P1 | 0K / 0 GB | 5 | 0 |
| 1 8K Adater Ger | 0K / 0 GB | 8 | 0 |
| German 2B Lora 6K | 0K / 0 GB | 8 | 0 |
| Ger Lora 3K Checkpoint | 0K / 0 GB | 8 | 0 |
| 2B Lora Adapter Llama Alpaca | 0K / 0.1 GB | 7 | 0 |
| Google Gemma 2B 1719882571 | 0K / 0 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ALBADDAWI/ft-google-gemma-2b-it-qlora .
Rank the Ft Google Gemma 2B It Qlora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803