Llama 2 Ko 7B Chat Vicuna Hf 4bit 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)
Llama 2 Ko 7B Chat Vicuna Hf 4bit Parameters and Internals
| LLM Name | Llama 2 Ko 7B Chat Vicuna Hf 4bit |
| Repository 🤗 | https://huggingface.co/quantumaikr/llama-2-ko-7b-chat-vicuna-hf-4bit |
| Model Size | 7b |
| Required VRAM | 0.1 GB |
| Updated | 2024-09-16 |
| Maintainer | quantumaikr |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 8 |
| LoRA Dropout | 0.1 |
| R Param | 32 |
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Note: green Score (e.g. "73.2") means that the model is better than quantumaikr/llama-2-ko-7b-chat-vicuna-hf-4bit .
Rank the Llama 2 Ko 7B Chat Vicuna Hf 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803