What are the hardware requirements for DictaLM 3.0 1.7B Instruct?

DictaLM 3.0 1.7B Instruct requires approximately 3.4 GB of VRAM and supports a context window of 60K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DictaLM 3.0 1.7B Instruct and how large is it?

DictaLM 3.0 1.7B Instruct is developed by dicta-il, 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 DictaLM 3.0 1.7B Instruct?

DictaLM 3.0 1.7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DictaLM 3.0 1.7B Instruct by dicta-il — VRAM 3.4GB, 60K context

Name: DictaLM 3.0 1.7B Instruct
Author: dicta-il

DictaLM 3.0 1.7B Instruct is an open-source language model by dicta-il. Features: 1.7b LLM, VRAM: 3.4GB, Context: 60K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Conversational En He Instruct Pretrained Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct

DictaLM 3.0 1.7B Instruct Parameters and Internals

LLM Name	DictaLM 3.0 1.7B Instruct
Repository 🤗	https://huggingface.co/dicta-il/DictaLM-3.0-1.7B-Instruct
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-30
Maintainer	dicta-il
Model Type	qwen3
Instruction-Based	Yes
Model Files	3.4 GB
Supported Languages	en he
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	62080
Model Max Length	62080
Transformers Version	4.55.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the DictaLM 3.0 1.7B Instruct 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 DictaLM 3.0 1.7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Supertron2 1.7B	40K / 3.4 GB	248	7
Fusionai	40K / 3.4 GB	29	0
...3 1.7B Instruction Noreasoning	40K / 3.4 GB	12020	12
Luth 1.7B Instruct	40K / 3.4 GB	98	14
...ruct Fast CODER Reasoning 2.4B	40K / 9.7 GB	9	1
... Instruct CODER Reasoning 2.7B	40K / 11 GB	8	0
Qwen3 1.7B ShiningValiant3	40K / 6.9 GB	9	5
...wen3 1.7B Tamil 16bit Instruct	40K / 3.4 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than dicta-il/DictaLM-3.0-1.7B-Instruct.