What are the hardware requirements for Dictalm2.0 Instruct?

Dictalm2.0 Instruct requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dictalm2.0 Instruct and how large is it?

Dictalm2.0 Instruct is developed by dicta-il, a model with 7.3b 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 Dictalm2.0 Instruct?

Dictalm2.0 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dictalm2.0 Instruct by dicta-il — VRAM 14.5GB, 32K context

Name: Dictalm2.0 Instruct
Author: dicta-il

Dictalm2.0 Instruct is an open-source language model by dicta-il. Features: 7.3b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2407.07080 Base model:dicta-il/dictalm2.0 Base model:finetune:dicta-il/d... Conversational Deploy:azure En Endpoints compatible He Instruct Instruction-tuned Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/dicta-il/dictalm2.0-instruct

Dictalm2.0 Instruct Parameters and Internals

Model Type

text-generation

Additional Notes

This is an instruct fine-tuned version of DictaLM-2.0, using a variety of conversation datasets. It is designed primarily for chat applications, fine-tuned with an extended dataset for Hebrew.

Supported Languages

Hebrew (native proficiency), English (support available)

Training Details

Methodology:

Zephyr-7B-beta instruction fine-tuning

Model Architecture:

Zephyr-7B-beta recipe for fine-tuning an instruct model

Input Output

Input Format:

[INST] and [/INST] tokens in prompts

Accepted Modalities:

text

Output Format:

text

LLM Name	Dictalm2.0 Instruct
Repository 🤗	https://huggingface.co/dicta-il/dictalm2.0-instruct
Base Model(s)	dicta-il/dictalm2.0 dicta-il/dictalm2.0
Model Size	7.3b
Required VRAM	14.5 GB
Updated	2026-07-13
Maintainer	dicta-il
Model Type	mistral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en he
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	33152
Torch Data Type	bfloat16

Rank the Dictalm2.0 Instruct 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 Dictalm2.0 Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Dictalm2 It Qa Fine Tune	32K / 14.5 GB	26	7
... Fine Tuned Alpaca Gpt4 Hebrew	32K / 14.5 GB	201	0
Dictalm2.0 Instruct Fine Tuned	32K / 14.5 GB	21	0
Dictalm2.0 Instruct AWQ	32K / 4.2 GB	93	0
Dictalm2.0 Instruct GPTQ	32K / 4.2 GB	6	0