Arxiv:1910.09700 Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Finetuned Lora Peft Region:us Safetensors
Phi Gemma Nlaf V0 Benchmarks
ARC: 44.2 vs 96.7 (so35)-54.3%
HellaSwag: 62.73 vs 95.3 (gpt4)-34.2%
MMLU: 37.7 vs 88.3 (so35)-57.3%
TruthfulQA: 45.79 vs 59 (gpt4)-22.4%
WinoGrande: 61.09 vs 87.5 (gpt4)-30.2%
GSM8K: 5.53 vs 96.4 (so35)-94.3%
LLME Score: 0.24833
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)
Phi Gemma Nlaf V0 Parameters and Internals
| LLM Name | Phi Gemma Nlaf V0 |
| Repository 🤗 | https://huggingface.co/azarafrooz/phi-gemma-nlaf-v0 |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 0.1 GB |
| Updated | 2024-08-13 |
| Maintainer | azarafrooz |
| Model Files | |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|gate_proj|k_proj|up_proj|down_proj|o_proj|q_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Phi Gemma Nlaf V0
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 |
| 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 |
| Google Gemma 2B 1719898662 | 0K / 0 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than azarafrooz/phi-gemma-nlaf-v0 .
Rank the Phi Gemma Nlaf V0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803