What are the hardware requirements for Quark 50M Instruct?

Quark 50M Instruct requires approximately 0.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Quark 50M Instruct and how large is it?

Quark 50M Instruct is developed by OvercastLab, a model with 50m 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 Quark 50M Instruct?

Quark 50M Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Quark 50M Instruct by OvercastLab — VRAM 0.1GB, 2K context

Name: Quark 50M Instruct
Author: OvercastLab

Quark 50M Instruct is an open-source language model by OvercastLab. Features: 50m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.26.

50m Code Conversational Dataset:huggingfacetb/smollm-c... En Gqa Instruct Llama Pytorch Region:us Rmsnorm Safetensors Smol Swiglu

Model Card on HF 🤗: https://huggingface.co/OvercastLab/Quark-50m-Instruct

Quark 50M Instruct Parameters and Internals

LLM Name	Quark 50M Instruct
Repository 🤗	https://huggingface.co/OvercastLab/Quark-50m-Instruct
Model Size	50m
Required VRAM	0.1 GB
Updated	2026-04-24
Maintainer	OvercastLab
Model Type	llama
Instruction-Based	Yes
Model Files	0.1 GB 0.2 GB 0.0 GB
Supported Languages	en code
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.6.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	49152
Errors	replace

Rank the Quark 50M Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Quark 50M Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Supra 1.5 50M Instruct Exp	5K / 0.1 GB	2307	49
Supra1.5 50M Instruct Exp	5K / 0.1 GB	2023	49
Supra 50M Instruct ONNX	1K / GB	52	4
Supra 50M Instruct	1K / 0.1 GB	8380	35

Note: green Score (e.g. "73.2") means that the model is better than OvercastLab/Quark-50m-Instruct.