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: 0.3.
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 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)
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) | |
| Model Size | 250m |
| Required VRAM | 0.2 GB |
| Updated | 2026-06-24 |
| Maintainer | mlx-community |
| Model Type | dhara_ar |
| Model Files | |
| 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 |
Best Alternatives to Dhara 250M OptiQ 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dhara 250M | 32K / 0.5 GB | 306 | 3 |
Rank the Dhara 250M OptiQ 4bit Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 54493 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a