What are the hardware requirements for EchoSwift 700M?

EchoSwift 700M requires approximately 1.5 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EchoSwift 700M and how large is it?

EchoSwift 700M is developed by adityavardhansharma, a model with 700m 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 EchoSwift 700M?

EchoSwift 700M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EchoSwift 700M by adityavardhansharma — VRAM 1.5GB, 125K context

Name: EchoSwift 700M
Author: adityavardhansharma

EchoSwift 700M is an open-source language model by adityavardhansharma. Features: 700m LLM, VRAM: 1.5GB, Context: 125K, License: other, LLM Explorer Score: 0.3.

Android Artifacts Base model:finetune:liquidai/l... Base model:liquidai/lfm2-700m Conversational Echoflow Echoswift Edge-ai Endpoints compatible Lfm2 Liquid-foundation-model Litertlm On-device Region:us Safetensors Search Tool-calling

Model Card on HF 🤗: https://huggingface.co/adityavardhansharma/EchoSwift-700M

EchoSwift 700M Parameters and Internals

LLM Name	EchoSwift 700M
Repository 🤗	https://huggingface.co/adityavardhansharma/EchoSwift-700M
Base Model(s)	LFM2 700M LiquidAI/LFM2-700M
Model Size	700m
Required VRAM	1.5 GB
Updated	2026-10-30
Maintainer	adityavardhansharma
Model Type	lfm2
Model Files	1.5 GB
Model Architecture	Lfm2ForCausalLM
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	5.21.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the EchoSwift 700M 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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