Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-vis... Finetuned Generated from trainer Instruct Lora Peft Region:us Safetensors Sft Trl Vision
Results 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)
Results Parameters and Internals
| LLM Name | Results |
| Repository 🤗 | https://huggingface.co/farshadafx/results |
| Base Model(s) | |
| Required VRAM | 0 GB |
| Updated | 2024-11-07 |
| Maintainer | farshadafx |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|v_proj|down_proj|o_proj|k_proj|up_proj|q_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Results
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Small Fujin Qlora | 0K / 0.8 GB | 16 | 1 |
| Test | 0K / 0 GB | 5 | 0 |
| Vfgf | 0K / 0 GB | 6 | 0 |
| Results Phi3 Medium 4k | 0K / 0.1 GB | 5 | 0 |
| Results | 0K / 0.1 GB | 5 | 0 |
| Phi 3 Mini QLoRA | 0K / 0 GB | 182 | 0 |
| Phi3AdapterModel | 0K / 0.1 GB | 5 | 0 |
| Phi 3 Mini 4K Instruct Sft CoT | 0K / 0.1 GB | 5 | 0 |
| Phi 3 Mini 4K Instruct Sft | 0K / 0 GB | 6 | 0 |
| Phi 3 Mini 4K Instruct Ru Lora | 0K / 0.1 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than farshadafx/results .
Rank the Results Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110