What are the hardware requirements for LFM3 1.7B UtilityModel Edited Weights?

LFM3 1.7B UtilityModel Edited Weights requires approximately 4 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 LFM3 1.7B UtilityModel Edited Weights and how large is it?

LFM3 1.7B UtilityModel Edited Weights is developed by cbert33, 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 LFM3 1.7B UtilityModel Edited Weights?

LFM3 1.7B UtilityModel Edited Weights is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM3 1.7B UtilityModel Edited Weights by cbert33 — VRAM 4GB, 256K context

Name: LFM3 1.7B UtilityModel Edited Weights
Author: cbert33

LFM3 1.7B UtilityModel Edited Weights is an open-source language model by cbert33. Features: 1.7b LLM, VRAM: 4GB, Context: 256K, License: other.

Ar Base model:finetune:liquidai/l... Base model:liquidai/lfm3-1.7b Conversational Custom-code Custom code De Edge En Endpoints compatible Es Fr Hi Id It Ja Ko Lfm3 Liquid Pl Pt Region:us Ru Safetensors Th Vi Weight-edited Zh

Model Card on HF 🤗: https://huggingface.co/cbert33/LFM3-1.7B-UtilityModel-edited-weights

LFM3 1.7B UtilityModel Edited Weights Parameters and Internals

LLM Name	LFM3 1.7B UtilityModel Edited Weights
Repository 🤗	https://huggingface.co/cbert33/LFM3-1.7B-UtilityModel-edited-weights
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	4 GB
Updated	2026-11-14
Maintainer	cbert33
Model Type	lfm3
Model Files	4.0 GB
Supported Languages	en ar zh fr de it ja ko pt es vi th id hi ru pl
Model Architecture	Lfm3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM3 1.7B UtilityModel Edited Weights 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 LFM3 1.7B UtilityModel Edited Weights

Best Alternatives	Context / RAM	Downloads	Likes
LFM3 1.7B	256K / 3.5 GB	32933	624
LFM3 1.7B Base	256K / 3.5 GB	3152	93
LFM3 1.7B NVFP4	256K / 1.8 GB	1360	16
LFM3 1.7B MLX Bf16	256K / 3.5 GB	1385	11
LFM3 1.7B ONNX	256K / GB	932	13
LFM3 1.7B FP8	256K / 2.2 GB	893	12
Himel3 1.7B	256K / 3.5 GB	485	1
Himel3 1.7B Graft	256K / 3.5 GB	476	1
LFM3 1.7B DERISKED	256K / 3.5 GB	85	11
...3 1.7B Claude Code Safetensors	256K / 3.5 GB	975	1

Note: green Score (e.g. "73.2") means that the model is better than cbert33/LFM3-1.7B-UtilityModel-edited-weights.