What are the hardware requirements for Clite 500M?

Clite 500M requires approximately 1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Clite 500M and how large is it?

Clite 500M is developed by Fizzarolli, a model with 500m 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 Clite 500M?

Clite 500M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Clite 500M by Fizzarolli — VRAM 1GB, 8K context

Name: Clite 500M
Author: Fizzarolli

Clite 500M is an open-source language model by Fizzarolli. Features: 500m LLM, VRAM: 1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13.

Axolotl Base model:finetune:h2oai/h2o-... Base model:h2oai/h2o-danube3-5... Conversational Dataset:kalomaze/opus instruct... En Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Fizzarolli/clite-500m

Clite 500M Parameters and Internals

LLM Name	Clite 500M
Repository 🤗	https://huggingface.co/Fizzarolli/clite-500m
Base Model(s)	H2o Danube3 500M Base h2oai/h2o-danube3-500m-base
Model Size	500m
Required VRAM	1 GB
Updated	2026-07-21
Maintainer	Fizzarolli
Model Type	llama
Instruction-Based	Yes
Model Files	1.0 GB 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.4
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32001
Torch Data Type	bfloat16

Rank the Clite 500M 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 Clite 500M

Best Alternatives	Context / RAM	Downloads	Likes
Legal Slm 500M Sft	1K / 2.1 GB	25	0

Note: green Score (e.g. "73.2") means that the model is better than Fizzarolli/clite-500m.