Arxiv:1910.09700 4-bit Autotrain compatible Bitsandbytes Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TJPark/vaivcon
Vaivcon 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)
Vaivcon Parameters and Internals
| LLM Name | Vaivcon |
| Repository 🤗 | https://huggingface.co/TJPark/vaivcon |
| Model Size | 7.9b |
| Required VRAM | 9.4 GB |
| Updated | 2024-12-30 |
| Maintainer | TJPark |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|o_proj|q_proj|v_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Rank the Vaivcon Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227