Vigogne Opt 6.7B Instruct 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)
Vigogne Opt 6.7B Instruct Parameters and Internals
| LLM Name | Vigogne Opt 6.7B Instruct |
| Repository 🤗 | https://huggingface.co/bofenghuang/vigogne-opt-6.7b-instruct |
| Model Size | 6.7b |
| Required VRAM | 0 GB |
| Updated | 2024-09-16 |
| Maintainer | bofenghuang |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr |
| Model Architecture | AutoModel |
| License | openrail |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Vigogne Opt 6.7B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...pseek Coder 6.7B Instruct GGUF | 0K / 2.8 GB | 6637 | 168 |
| Magicoder S DS 6.7B GGUF | 0K / 2.8 GB | 550 | 76 |
Note: green Score (e.g. "73.2") means that the model is better than bofenghuang/vigogne-opt-6.7b-instruct .
Rank the Vigogne Opt 6.7B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803