What are the hardware requirements for EchoPulse 1.7B?

EchoPulse 1.7B requires approximately 1.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EchoPulse 1.7B and how large is it?

EchoPulse 1.7B is developed by adityavardhansharma, a model with 1.7b 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 EchoPulse 1.7B?

EchoPulse 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EchoPulse 1.7B by adityavardhansharma — VRAM 1.1GB, 256K context

Name: EchoPulse 1.7B
Author: adityavardhansharma

EchoPulse 1.7B is an open-source language model by adityavardhansharma. Features: 1.7b LLM, VRAM: 1.1GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.29.

Android Artifacts Base model:liquidai/lfm3-1.7b Base model:quantized:liquidai/... Conversational Custom code Echoflow Echopulse Edge-ai Endpoints compatible Gguf Lfm3 Liquid-foundation-model On-device Q4 Quantized Region:us Safetensors Search Tool-calling

Model Card on HF 🤗: https://huggingface.co/adityavardhansharma/EchoPulse-1.7B

EchoPulse 1.7B Parameters and Internals

LLM Name	EchoPulse 1.7B
Repository 🤗	https://huggingface.co/adityavardhansharma/EchoPulse-1.7B
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	1.1 GB
Updated	2026-10-30
Maintainer	adityavardhansharma
Model Type	lfm3
Model Files	1.1 GB 1.9 GB 3.5 GB
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	Lfm3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.21.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the EchoPulse 1.7B 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 EchoPulse 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
LFM3 1.7B MLX 4bit	256K / 1 GB	4944	16
LFM3 1.7B MLX 8bit	256K / 1.8 GB	2348	11
LFM3 1.7B MLX 6bit	256K / 1.4 GB	407	9
LFM3 1.7B MLX 5bit	256K / 1.2 GB	429	7
LFM3 1.7B MLX Bf16	256K / 3.5 GB	1385	11
LFM3 1.7B NVFP4	256K / 1.8 GB	1360	16
LFM3 1.7B ONNX	256K / GB	932	13
LFM3 1.7B FP8	256K / 2.2 GB	893	12
LFM3 1.7B Heretic Abliterated	256K / 3.5 GB	297	2

Note: green Score (e.g. "73.2") means that the model is better than adityavardhansharma/EchoPulse-1.7B.