What are the hardware requirements for Particle 1.6?

Particle 1.6 requires approximately 0.2 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 Particle 1.6 and how large is it?

Particle 1.6 is developed by prathamkode, a model with 109.5m 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 Particle 1.6?

Particle 1.6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Particle 1.6 by prathamkode — VRAM 0.2GB, 2K context

Name: Particle 1.6
Author: prathamkode

Particle 1.6 is an open-source language model by prathamkode. Features: 109.5m LLM, VRAM: 0.2GB, Context: 2K, License: mit, LLM Explorer Score: 0.31.

Conversational En Endpoints compatible Llama Particle Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/prathamkode/particle-1.6

Particle 1.6 Parameters and Internals

LLM Name	Particle 1.6
Repository 🤗	https://huggingface.co/prathamkode/particle-1.6
Model Size	109.5m
Required VRAM	0.2 GB
Updated	2026-08-25
Maintainer	prathamkode
Model Type	llama
Model Files	0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|padding\|>
Vocabulary Size	32000

Rank the Particle 1.6 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

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Llama2.c Stories110M	1K / 0.4 GB	1427	6
Mia 001	1K / 0.2 GB	141	11