MythoMax Kimiko Mix GGML 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)
MythoMax Kimiko Mix GGML Parameters and Internals
| LLM Name | MythoMax Kimiko Mix GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/MythoMax-Kimiko-Mix-GGML |
| Model Name | MythoMax Kimiko Mix |
| Model Creator | taozi555 |
| Base Model(s) | |
| Required VRAM | 5.7 GB |
| Updated | 2024-09-18 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to MythoMax Kimiko Mix GGML
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| Athena V1 GGML | 0K / 5.5 GB | 0 | 1 |
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| QCammel 13 GGML | 0K / 5.5 GB | 6 | 8 |
| OpenChat V3.2 GGML | 0K / 5.7 GB | 2 | 15 |
| QCammel 70 X GGML | 0K / 28.6 GB | 6 | 3 |
| Replit Openorca GGML | 0K / 1.5 GB | 2 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/MythoMax-Kimiko-Mix-GGML .
Rank the MythoMax Kimiko Mix GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803