What are the hardware requirements for LFM3 1.7B Turkish CPT?

LFM3 1.7B Turkish CPT requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM3 1.7B Turkish CPT and how large is it?

LFM3 1.7B Turkish CPT is developed by cbarkinozer, 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 Turkish CPT?

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

LFM3 1.7B Turkish CPT by cbarkinozer — VRAM 0.3GB

Name: LFM3 1.7B Turkish CPT
Author: cbarkinozer

LFM3 1.7B Turkish CPT is an open-source language model by cbarkinozer. Features: 1.7b LLM, VRAM: 0.3GB, License: other, LLM Explorer Score: 0.3.

Base model:adapter:liquidai/lf... Base model:liquidai/lfm3-1.7b Continued-pretraining Conversational Custom code Dataset:huggingfacefw/fineweb-... Dataset:wikimedia/wikipedia Lfm3 Liquid Lora Peft Region:us Research Safetensors Tr Turkish

Model Card on HF 🤗: https://huggingface.co/cbarkinozer/LFM3-1.7B-Turkish-CPT

LFM3 1.7B Turkish CPT Parameters and Internals

LLM Name	LFM3 1.7B Turkish CPT
Repository 🤗	https://huggingface.co/cbarkinozer/LFM3-1.7B-Turkish-CPT
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	0.3 GB
Updated	2026-11-13
Maintainer	cbarkinozer
Model Files	0.3 GB
Supported Languages	tr
Model Architecture	AutoModel
License	other
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	w2\|k_proj\|in_proj\|q_proj\|w1\|out_proj\|w3\|v_proj\|o_proj
LoRA Alpha	64
LoRA Dropout	0
R Param	64

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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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