What are the hardware requirements for LFM3 1.7B Transaction Categorization?

LFM3 1.7B Transaction Categorization requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM3 1.7B Transaction Categorization and how large is it?

LFM3 1.7B Transaction Categorization is developed by oleggat0r, 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 Transaction Categorization?

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

LFM3 1.7B Transaction Categorization by oleggat0r — VRAM 0.1GB

Name: LFM3 1.7B Transaction Categorization
Author: oleggat0r

LFM3 1.7B Transaction Categorization is an open-source language model by oleggat0r. Features: 1.7b LLM, VRAM: 0.1GB, License: other, Quantized, LLM Explorer Score: 0.31.

Adapter Base model:adapter:liquidai/lf... Base model:liquidai/lfm3-1.7b Conversational Dataset:mitulshah/transaction-... En Endpoints compatible Finance Finetuned Gguf Lfm3 Liquid Lora Peft Q8 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/oleggat0r/LFM3-1.7B-transaction-categorization

LFM3 1.7B Transaction Categorization Parameters and Internals

LLM Name	LFM3 1.7B Transaction Categorization
Repository 🤗	https://huggingface.co/oleggat0r/LFM3-1.7B-transaction-categorization
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	0.1 GB
Updated	2026-11-01
Maintainer	oleggat0r
Model Files	0.1 GB 1.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q8
Model Architecture	Adapter
License	other
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	w2\|gate_proj\|w1\|q_proj\|in_proj\|k_proj\|o_proj\|out_proj\|w3\|v_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the LFM3 1.7B Transaction Categorization capabilities

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Best Alternatives to LFM3 1.7B Transaction Categorization

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SymboLM 2.1 SmolLM2 1.7B	0K / 0.1 GB	175	1
Yuna 1.7B V0	0K / 0 GB	43	1
Pitwall Qwen3 1.7B Lora	0K / 0.1 GB	41	1
Qwen3 1.7B Toolcall Lora V1	0K / 0.1 GB	26	1
Mango T30 1.7B	0K / 0.1 GB	28	2
Qwen3 1.7B Financial Qa Lora	0K / 0 GB	9	1
SmolVLM Instruct DPO	0K / 0.1 GB	17	22

Note: green Score (e.g. "73.2") means that the model is better than oleggat0r/LFM3-1.7B-transaction-categorization.