Arxiv:1910.09700 Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-med... Finetuned Instruct Lora Peft Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/gvo1112/model_c0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879
Model C0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 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)
Model C0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 Parameters and Internals
| LLM Name | Model C0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 |
| Repository 🤗 | https://huggingface.co/gvo1112/model_c0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 |
| Base Model(s) | |
| Required VRAM | 0.4 GB |
| Updated | 2025-05-01 |
| Maintainer | gvo1112 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|qkv_proj|o_proj|gate_up_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.2 |
| R Param | 32 |
Best Alternatives to Model C0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 5 | 0 |
| ...357cade9cc1096cecc35c34dba8992 | 0K / 1.3 GB | 10 | 0 |
| ...ini Instruct MedicalChat QLoRA | 0K / 0.1 GB | 0 | 2 |
| ...mall Physics Finetuned Adapter | 0K / 0.1 GB | 2 | 1 |
| Mistral Small Dampf Qlora | 0K / 0.8 GB | 8 | 0 |
| Mistral Small Fujin Qlora | 0K / 0.8 GB | 2 | 2 |
| Test | 0K / 0 GB | 5 | 0 |
| Vfgf | 0K / 0 GB | 5 | 0 |
| Results | 0K / 0 GB | 5 | 0 |
| Results Phi3 Medium 4k | 0K / 0.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than gvo1112/model_c0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 .
Rank the Model C0dc67f0bbcaaaf043da230d9a30d8e0ddcbe879 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124