What are the hardware requirements for Mistral Nemo Kurdish Instruct?

Mistral Nemo Kurdish Instruct requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo Kurdish Instruct and how large is it?

Mistral Nemo Kurdish Instruct is developed by nazimali, a model with 12.2b 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 Mistral Nemo Kurdish Instruct?

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

Mistral Nemo Kurdish Instruct by nazimali — VRAM 24.5GB, 1000K context

Name: Mistral Nemo Kurdish Instruct
Author: nazimali

Mistral Nemo Kurdish Instruct is an open-source language model by nazimali. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:nazimali/m... Base model:nazimali/mistral-ne... Conversational Dataset:saillab/alpaca-kurdish... Deploy:azure En Endpoints compatible Gguf Instruct Ku Mistral Q4 Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/nazimali/Mistral-Nemo-Kurdish-Instruct

Mistral Nemo Kurdish Instruct Parameters and Internals

LLM Name	Mistral Nemo Kurdish Instruct
Repository 🤗	https://huggingface.co/nazimali/Mistral-Nemo-Kurdish-Instruct
Base Model(s)	Mistral Nemo Kurdish nazimali/Mistral-Nemo-Kurdish
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-07-27
Maintainer	nazimali
Model Type	mistral
Instruction-Based	Yes
Model Files	24.5 GB 7.5 GB 10.1 GB 4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	ku en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo Kurdish 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 Mistral Nemo Kurdish Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo InstructContinuedFine	1000K / 24.5 GB	131	0
NemoR	1000K / 24.5 GB	24	0
RAISED Mistral Nemo SFT	128K / 24.5 GB	12	0
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Kalypso	1000K / 24.5 GB	45	24
Crimson Dawn V0.2	1000K / 24.5 GB	17	13
Azure Dusk V0.2	1000K / 24.5 GB	43	10

Note: green Score (e.g. "73.2") means that the model is better than nazimali/Mistral-Nemo-Kurdish-Instruct.