Model Card on HF 🤗: https://huggingface.co/moetezsa/mistral_numericnlg_FV_gguf
Mistral Numericnlg FV 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)
Mistral Numericnlg FV Gguf Parameters and Internals
| LLM Name | Mistral Numericnlg FV Gguf |
| Repository 🤗 | https://huggingface.co/moetezsa/mistral_numericnlg_FV_gguf |
| Required VRAM | 7.7 GB |
| Updated | 2025-06-09 |
| Maintainer | moetezsa |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
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| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 6189 | 303 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8138 | 138 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 8 | 3 |
| Futfut By Zephyr7b Gguf | 0K / 5.1 GB | 373 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than moetezsa/mistral_numericnlg_FV_gguf .
Rank the Mistral Numericnlg FV Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124