What are the hardware requirements for Mistral 7B Instruct Ukrainian?

Mistral 7B Instruct Ukrainian requires approximately 14.4 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 Mistral 7B Instruct Ukrainian and how large is it?

Mistral 7B Instruct Ukrainian is developed by SherlockAssistant, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 7B Instruct Ukrainian perform on standard benchmarks?

Mistral 7B Instruct Ukrainian has the following published scores: MMLU 62.87. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Instruct Ukrainian by SherlockAssistant — VRAM 14.4GB, 32K context

Name: Mistral 7B Instruct Ukrainian
Author: SherlockAssistant

Mistral 7B Instruct Ukrainian is an open-source language model by SherlockAssistant. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12, Arc: 67.4, HellaSwag: 85.8, MMLU: 62.9, GSM8K: 56.3.

Conversational Deploy:azure Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SherlockAssistant/Mistral-7B-Instruct-Ukrainian

Mistral 7B Instruct Ukrainian Parameters and Internals

Model Type

instruction-tuned, language model

Supported Languages

Ukrainian (native)

Training Details

Data Sources:

UA-SQUAD, Ukrainian StackExchange, UAlpaca Dataset, Ukrainian Subset from Belebele Dataset, Ukrainian Subset from XQA, ZNO Dataset provided in UNLP 2024 shared task, Ukrainian Wiki

Methodology:

SLERP merge and DPO of Mistral-7B-v0.2 with NeuralTrix-7B.

Model Architecture:

Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer

Input Output

Input Format:

[INST]...[/INST]

Accepted Modalities:

text

LLM Name	Mistral 7B Instruct Ukrainian
Repository 🤗	https://huggingface.co/SherlockAssistant/Mistral-7B-Instruct-Ukrainian
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-10
Maintainer	SherlockAssistant
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct Ukrainian 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

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	7	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	11	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than SherlockAssistant/Mistral-7B-Instruct-Ukrainian.