What are the hardware requirements for Dhara 250M OptiQ 4bit?

Dhara 250M OptiQ 4bit requires approximately 0.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dhara 250M OptiQ 4bit and how large is it?

Dhara 250M OptiQ 4bit is developed by mlx-community, a model with 250m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Dhara 250M OptiQ 4bit?

Dhara 250M OptiQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dhara 250M OptiQ 4bit by mlx-community — VRAM 0.2GB, 32K context

Name: Dhara 250M OptiQ 4bit
Author: mlx-community

Dhara 250M OptiQ 4bit is an open-source language model by mlx-community. Features: 250m LLM, VRAM: 0.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

4-bit 4bit Base model:codelion/dhara-250m Base model:quantized:codelion/... Conversational Custom code Dhara Dhara ar Diffusion-llm En Mlx Optiq Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/dhara-250m-OptiQ-4bit

Dhara 250M OptiQ 4bit Parameters and Internals

LLM Name	Dhara 250M OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/dhara-250m-OptiQ-4bit
Base Model(s)	Dhara 250M codelion/dhara-250m
Model Size	250m
Required VRAM	0.2 GB
Updated	2026-07-11
Maintainer	mlx-community
Model Type	dhara_ar
Model Files	0.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	DharaARForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	49155

Rank the Dhara 250M OptiQ 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Dhara 250M OptiQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Dhara 250M OptiQ 8bit	32K / 0.2 GB	426	3
Dhara 250M	32K / 0.5 GB	1915	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/dhara-250m-OptiQ-4bit.