Arxiv:1910.09700 Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-1 5 Finetuned Lora Peft Region:us Safetensors
Phi Openllm Lb Test Benchmarks
ARC: 51.79 vs 96.7 (so35)-46.4%
HellaSwag: 62.04 vs 95.3 (gpt4)-34.9%
MMLU: 42.58 vs 88.3 (so35)-51.8%
TruthfulQA: 40.69 vs 59 (gpt4)-31%
WinoGrande: 74.03 vs 87.5 (gpt4)-15.4%
GSM8K: 21.53 vs 96.4 (so35)-77.7%
LLME Score: 0.22865
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 Openllm Lb Test Parameters and Internals
| LLM Name | Phi Openllm Lb Test |
| Repository 🤗 | https://huggingface.co/sovitrath/phi-openllm-lb-test |
| Base Model(s) | |
| Required VRAM | 0 GB |
| Updated | 2024-11-05 |
| Maintainer | sovitrath |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | CodeGenTokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|fc1|fc2|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 16 |
| Errors | replace |
Best Alternatives to Phi Openllm Lb Test
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SpectraMind | 0K / 16.1 GB | 223 | 2 |
| Reflection Model | 0K / 0.2 GB | 0 | 1 |
| SpectraMindQ | 0K / 0.2 GB | 30 | 1 |
| Mistral Small Fujin Qlora | 0K / 0.8 GB | 16 | 1 |
| Ll3 C3 Lora New | 0K / 0 GB | 7 | 0 |
| Zephyr Phi 1 5 Sft Qlora | 0K / 0 GB | 5 | 0 |
| Hua V0.1 | 0K / 0 GB | 6 | 0 |
| CodeHAWK | 0K / 0 GB | 8 | 0 |
| ...ew2 B0.001 0.5ultrafeedback I1 | 0K / 0 GB | 5 | 0 |
| ....001 0.5ultrafeedback LowLr I1 | 0K / 0 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sovitrath/phi-openllm-lb-test .
Rank the Phi Openllm Lb Test Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110