What are the hardware requirements for EuroLLM 1.7B Instruct Heretic?

EuroLLM 1.7B Instruct Heretic requires approximately 3.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EuroLLM 1.7B Instruct Heretic and how large is it?

EuroLLM 1.7B Instruct 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 EuroLLM 1.7B Instruct Heretic?

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

EuroLLM 1.7B Instruct Heretic by saidutta69 — VRAM 3.3GB, 4K context

Name: EuroLLM 1.7B Instruct Heretic
Author: saidutta69

EuroLLM 1.7B Instruct Heretic is an open-source language model by saidutta69. Features: 1.7b LLM, VRAM: 3.3GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.35.

Abliterated Ar Ara Base model:quantized:utter-pro... Base model:utter-project/eurol... Bg Ca Conversational Cs Da De El En Endpoints compatible Es Et Eurollm European-languages Fi Fr Ga Gguf Gl Heretic Hi Hr Hu Instruct It Ja Ko Llama Local-llm Lt Lv Mt Multilingual Nl No Pl Pt Quantized Region:us Reproducible Ro Ru Safetensors Sk Sl Sv Tr Translation Uk Zh

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

EuroLLM 1.7B Instruct Heretic Parameters and Internals

LLM Name	EuroLLM 1.7B Instruct Heretic
Repository 🤗	https://huggingface.co/saidutta69/EuroLLM-1.7B-Instruct-heretic
Base Model(s)	utter-project/EuroLLM-1.7B-Instruct utter-project/EuroLLM-1.7B-Instruct
Model Size	1.7b
Required VRAM	3.3 GB
Updated	2026-11-03
Maintainer	saidutta69
Model Type	llama
Instruction-Based	Yes
Model Files	3.3 GB 3.3 GB
Supported Languages	en de es fr it pt pl nl tr sv cs el hu ro fi uk sl sk da lt lv et bg no ca hr ga mt gl zh ru ko ja ar hi
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	5.22.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	128000

Rank the EuroLLM 1.7B Instruct 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 EuroLLM 1.7B Instruct Heretic

Best Alternatives	Context / RAM	Downloads	Likes
Smolgpt Fables	8K / 1.1 GB	1341	0
TwIL LM	8K / 1.1 GB	519	10
SmolLM2 1.7B Merged	8K / 3.4 GB	22	0
SmolLM2 1.7B Instruct Q8 Mlx	8K / 1.8 GB	258	5
SmolLM2 1.7B Instruct Bnb 4bit	8K / 1 GB	407	2
SmolLM 1.7B Bnb 4bit	2K / 1 GB	34	2
SmolLM 1.7B Instruct 4bit	2K / 1 GB	70	2
SmolLM 1.7B Instruct 8bit	2K / 1.8 GB	9	1
SmolLM2 1.7B Instruct 16K	16K / 3.4 GB	103	10
SmolLM2 1.7B Instruct	8K / 3.4 GB	154013	742

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