Numind NuExtract 1.5 MLX 8bit is an open-source language model by mlx-community. Features: 1.1b LLM, VRAM: 4.1GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.17.
8-bit 8bit Base model:numind/nuextract-1.... Base model:quantized:numind/nu... Conversational Custom code Endpoints compatible Mlx Multilingual Phi3 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/numind-NuExtract-1.5-MLX-8bit
Numind NuExtract 1.5 MLX 8bit 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)
Numind NuExtract 1.5 MLX 8bit Parameters and Internals
| LLM Name | Numind NuExtract 1.5 MLX 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/numind-NuExtract-1.5-MLX-8bit |
| Base Model(s) | |
| Model Size | 1.1b |
| Required VRAM | 4.1 GB |
| Updated | 2026-04-16 |
| Maintainer | mlx-community |
| Model Type | phi3 |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | Phi3ForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to Numind NuExtract 1.5 MLX 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi 4 Mini Instruct 8bit | 128K / 4.1 GB | 234 | 5 |
| Phi 4 Mini Instruct 6bit | 128K / 3.1 GB | 47 | 2 |
| Phi 3.5 Mini Instruct 4bit | 128K / 2.1 GB | 3175 | 9 |
| ...hi 3 Medium 128K Instruct 4bit | 128K / 7.8 GB | 32 | 2 |
| ...m 128K Instruct 6.0bpw H6 EXL2 | 128K / 10.7 GB | 8 | 3 |
| ...dium 128K Instruct 8 0bpw EXL2 | 128K / 13.4 GB | 4 | 1 |
| ...m 128K Instruct 8.0bpw H8 EXL2 | 128K / 13.4 GB | 4 | 4 |
| ...m 128K Instruct 3.0bpw H6 EXL2 | 128K / 5.6 GB | 5 | 0 |
| ...m 128K Instruct 5.0bpw H6 EXL2 | 128K / 8.9 GB | 5 | 0 |
| Phi 3 Mini 128K Instruct 8bit | 128K / 4.1 GB | 55 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/numind-NuExtract-1.5-MLX-8bit .
Rank the Numind NuExtract 1.5 MLX 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a