What are the hardware requirements for LFM3 1.7B Heretic?

LFM3 1.7B Heretic requires approximately 0.8 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 Heretic and how large is it?

LFM3 1.7B Heretic is developed by saidutta69, 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 Heretic?

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

LFM3 1.7B Heretic by saidutta69 — VRAM 0.8GB, 256K context

Name: LFM3 1.7B Heretic
Author: saidutta69

LFM3 1.7B Heretic is an open-source language model by saidutta69. Features: 1.7b LLM, VRAM: 0.8GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.35.

Abliterated Agentic Ar Base model:liquidai/lfm3-1.7b Base model:quantized:liquidai/... Conversational Custom code De Decensored Edge En Endpoints compatible Es Fr Gguf Heretic Hi Id It Ja Ko Lfm3 Lfm3-1.7b Liquid Local-llm On-device Pl Pt Q2 Quantized Region:us Reproducible Ru Safetensors Th Tool-calling Uncensored Vi Zh

Model Card on HF 🤗: https://huggingface.co/saidutta69/LFM3-1.7B-heretic

LFM3 1.7B Heretic Parameters and Internals

LLM Name	LFM3 1.7B Heretic
Repository 🤗	https://huggingface.co/saidutta69/LFM3-1.7B-heretic
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	0.8 GB
Updated	2026-10-31
Maintainer	saidutta69
Model Type	lfm3
Model Files	3.5 GB 0.9 GB 1.0 GB 0.8 GB 1.0 GB 0.9 GB 0.9 GB 1.1 GB 1.1 GB 1.1 GB 1.1 GB 1.3 GB 1.2 GB 1.4 GB 1.9 GB 3.5 GB
Supported Languages	en ar zh fr de it ja ko pt es vi th id hi ru pl
GGUF Quantization	Yes
Quantization Type	q2\|gguf\|q4_k\|q5_k
Model Architecture	Lfm3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.21.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the LFM3 1.7B Heretic 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 Heretic

Best Alternatives	Context / RAM	Downloads	Likes
LFM3 1.7B Frontier SmartAgent	512K / 1.1 GB	1824	2
EchoPulse 1.7B	256K / 1.1 GB	75	0
LFM3 1.7B MLX 4bit	256K / 1 GB	4944	16
LFM3 1.7B MLX 8bit	256K / 1.8 GB	2348	11
LFM3 1.7B MLX 6bit	256K / 1.4 GB	407	9
LFM3 1.7B MLX 5bit	256K / 1.2 GB	429	7
LFM3 1.7B Base MLX 5bit	256K / 1.2 GB	122	5
LFM3 1.7B OptiQ 4bit	256K / 1.3 GB	430	1
LFM3 1.7B	256K / 3.5 GB	32933	624
LFM3 1.7B Base	256K / 3.5 GB	3152	93

Note: green Score (e.g. "73.2") means that the model is better than saidutta69/LFM3-1.7B-heretic.