What are the hardware requirements for Dictalm2.0 Instruct GGUF?

Dictalm2.0 Instruct GGUF requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Dictalm2.0 Instruct GGUF is developed by dicta-il. 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 GGUF?

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

Dictalm2.0 Instruct GGUF by dicta-il — VRAM 4.4GB

Name: Dictalm2.0 Instruct GGUF
Author: dicta-il

Dictalm2.0 Instruct GGUF is an open-source language model by dicta-il. Features: LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:2407.07080 Base model:dicta-il/dictalm2.0 Base model:quantized:dicta-il/... Conversational En Gguf He Instruct Instruction-tuned Mistral Quantized Region:us

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

Dictalm2.0 Instruct GGUF Parameters and Internals

LLM Name	Dictalm2.0 Instruct GGUF
Repository 🤗	https://huggingface.co/dicta-il/dictalm2.0-instruct-GGUF
Base Model(s)	dicta-il/dictalm2.0 dicta-il/dictalm2.0
Required VRAM	4.4 GB
Updated	2026-07-23
Maintainer	dicta-il
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB 4.4 GB
Supported Languages	en he
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Dictalm2.0 Instruct GGUF 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 Dictalm2.0 Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Spydaz Web AI	0K / 4.4 GB	154	3
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Autocomplete Model	0K / 4.1 GB	66	0
Phi 3 Mini 4K Instruct	0K / 2.3 GB	32	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dre Phi Gguf	0K / 2.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than dicta-il/dictalm2.0-instruct-GGUF.