Qlora Self Instruct 65B 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)
Qlora Self Instruct 65B Parameters and Internals
| LLM Name | Qlora Self Instruct 65B |
| Repository 🤗 | https://huggingface.co/timdettmers/qlora-self-instruct-65b |
| Model Size | 65b |
| Required VRAM | 3.2 GB |
| Updated | 2024-09-18 |
| Maintainer | timdettmers |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|down_proj|up_proj|q_proj|k_proj|v_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 64 |
Rank the Qlora Self Instruct 65B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803