Olmo 3 7B Instruct Mxfp4 QAT is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 3.9GB, Context: 64K, Instruction-Based, LLM Explorer Score: 0.33.
4-bit Base model:allenai/olmo-3-7b-i... Base model:quantized:allenai/o... Conversational Dataset:mlx-community/dolci-in... Instruct Lora Mlx Mlx-lm-lora Olmo3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Olmo-3-7B-Instruct-mxfp4-QAT
Olmo 3 7B Instruct Mxfp4 QAT 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)
Olmo 3 7B Instruct Mxfp4 QAT Parameters and Internals
| LLM Name | Olmo 3 7B Instruct Mxfp4 QAT |
| Repository 🤗 | https://huggingface.co/mlx-community/Olmo-3-7B-Instruct-mxfp4-QAT |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2026-04-24 |
| Maintainer | mlx-community |
| Model Type | olmo3 |
| Instruction-Based | Yes |
| Model Files | |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 100278 |
| LoRA Model | Yes |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a