What are the hardware requirements for LFM3 1.7B Claude Code Safetensors?

LFM3 1.7B Claude Code Safetensors requires approximately 3.5 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 Claude Code Safetensors and how large is it?

LFM3 1.7B Claude Code Safetensors is developed by mondk, 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 Claude Code Safetensors?

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

LFM3 1.7B Claude Code Safetensors by mondk — VRAM 3.5GB, 256K context

Name: LFM3 1.7B Claude Code Safetensors
Author: mondk

LFM3 1.7B Claude Code Safetensors is an open-source language model by mondk. Features: 1.7b LLM, VRAM: 3.5GB, Context: 256K, License: other, LLM Explorer Score: 0.34.

Agent Ar Base model:finetune:liquidai/l... Base model:liquidai/lfm3-1.7b Claude Code Conversational Custom code Dataset:mondk/ultra-trio-unfil... De En Es Fr Hi Id It Ja Ko Lfm3 Msh Pl Pt Region:us Ru Safetensors Stepbystep Th Toolcall Vi Zh

Model Card on HF 🤗: https://huggingface.co/mondk/LFM3-1.7B-Claude-Code-Safetensors

LFM3 1.7B Claude Code Safetensors Parameters and Internals

LLM Name	LFM3 1.7B Claude Code Safetensors
Repository 🤗	https://huggingface.co/mondk/LFM3-1.7B-Claude-Code-Safetensors
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	3.5 GB
Updated	2026-10-31
Maintainer	mondk
Model Type	lfm3
Model Files	3.5 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	5.21.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM3 1.7B Claude Code Safetensors 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

Best Alternatives to LFM3 1.7B Claude Code Safetensors

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 MLX Bf16	256K / 3.5 GB	1385	11
LFM3 1.7B NVFP4	256K / 1.8 GB	1360	16
Cosmic Lightning	256K / 3.5 GB	168	9
LFM3 1.7B ONNX	256K / GB	932	13
LFM3 1.7B FP8	256K / 2.2 GB	893	12
Athena	256K / 3.5 GB	139	0
LFM3 1.7B MLX 4bit	256K / 1 GB	4944	16
LFM3 1.7B MLX 8bit	256K / 1.8 GB	2348	11

Note: green Score (e.g. "73.2") means that the model is better than mondk/LFM3-1.7B-Claude-Code-Safetensors.