What are the hardware requirements for Lfm3 1.7B Sweep Sft?

Lfm3 1.7B Sweep Sft 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 Sweep Sft and how large is it?

Lfm3 1.7B Sweep Sft is developed by Walltim3, 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 Sweep Sft?

Lfm3 1.7B Sweep Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lfm3 1.7B Sweep Sft by Walltim3 — VRAM 3.5GB, 256K context

Name: Lfm3 1.7B Sweep Sft
Author: Walltim3

Lfm3 1.7B Sweep Sft is an open-source language model by Walltim3. Features: 1.7b LLM, VRAM: 3.5GB, Context: 256K, License: other.

Base model:liquidai/lfm3-1.7b-... Base model:quantized:liquidai/... Code Conversational Custom code Endpoints compatible Fim Gguf Lfm3 Next-edit Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Walltim3/lfm3-1.7b-sweep-sft

Lfm3 1.7B Sweep Sft Parameters and Internals

LLM Name	Lfm3 1.7B Sweep Sft
Repository 🤗	https://huggingface.co/Walltim3/lfm3-1.7b-sweep-sft
Base Model(s)	LiquidAI/LFM3-1.7B-Base LiquidAI/LFM3-1.7B-Base
Model Size	1.7b
Required VRAM	3.5 GB
Updated	2026-11-14
Maintainer	Walltim3
Model Type	lfm3
Model Files	3.5 GB
Model Architecture	Lfm3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.23.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the Lfm3 1.7B Sweep Sft 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 Sweep Sft

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 Walltim3/lfm3-1.7b-sweep-sft.