2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Base model:numind/nuextract-1.... Base model:quantized:numind/nu... Gguf Mistral Quantized Region:us
NuExtract 1.5 Smol 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)
NuExtract 1.5 Smol GGUF Parameters and Internals
| LLM Name | NuExtract 1.5 Smol GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/NuExtract-1.5-smol-GGUF |
| Model Name | NuExtract-1.5-smol-GGUF |
| Model Creator | numind |
| Base Model(s) | |
| Required VRAM | 0.7 GB |
| Updated | 2024-11-21 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
Rank the NuExtract 1.5 Smol GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110