2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Dataset:teknium/openhermes-2.5 Endpoints compatible Gguf Llama Mistral Pytorch Quantized Region:us
Yi Super 9B GGUF 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)
Yi Super 9B GGUF Parameters and Internals
| LLM Name | Yi Super 9B GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/yi-super-9B-GGUF |
| Model Name | yi-super-9B-GGUF |
| Model Creator | feeltheAGI |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 3.4 GB |
| Updated | 2024-10-18 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to Yi Super 9B GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 1.5 9B Chat GGUF | 0K / 3.4 GB | 291 | 5 |
| ...e Dolphin 2.9.1 Yi 1.5 9b GGUF | 0K / 5.3 GB | 85 | 0 |
| ...n Dolphin 2.9.1 Yi 1.5 9b GGUF | 0K / 5.3 GB | 106 | 0 |
| ...s Dolphin 2.9.1 Yi 1.5 9b GGUF | 0K / 5.3 GB | 47 | 0 |
| Yi 9B 200K GGUF | 0K / 3.4 GB | 801 | 5 |
| Yi 9B GGUF | 0K / 3.4 GB | 698 | 14 |
| Yi 9B GGUF | 0K / 3.4 GB | 420 | 2 |
| NeuralQuant 9B GGUF | 0K / 3.8 GB | 255 | 1 |
| NeuralPipe 9B Merged GGUF | 0K / 3.8 GB | 151 | 2 |
| Gemma2 9B Uncensored Lora | 0K / 0.2 GB | 0 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/yi-super-9B-GGUF .
Rank the Yi Super 9B GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803