What are the hardware requirements for Kyro N1 7B?

Kyro N1 7B requires approximately 15.2 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 Kyro N1 7B and how large is it?

Kyro N1 7B is developed by open-neo, a model with 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 Kyro N1 7B?

Kyro N1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kyro N1 7B by open-neo — VRAM 15.2GB, 32K context

Name: Kyro N1 7B
Author: open-neo

Kyro N1 7B is an open-source language model by open-neo. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.25.

Arxiv:2407.10671 4bit Agentic Ar Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Bn Ceb Conversational Cs De Deepseek-r1 En Endpoints compatible Es Fa Finetuned Fr He Hi Id Instruct It Ja Km Ko Lo Ms My Nl Open-llm Pl Pt Quantized Qwen2 Qwen2.5 Reasoning Region:us Ru Safetensors Sharded Synthetic-data Tensorflow Th Tl Tr Trl Unsloth Ur Vi Zh

Model Card on HF 🤗: https://huggingface.co/open-neo/Kyro-n1-7B

Kyro N1 7B Parameters and Internals

LLM Name	Kyro N1 7B
Repository 🤗	https://huggingface.co/open-neo/Kyro-n1-7B
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2025-05-26
Maintainer	open-neo
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en zh fr es pt de it ru ja ko vi th ar fa he tr cs pl hi bn ur id ms lo my km tl nl
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Kyro N1 7B 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 Kyro N1 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	444	11
...wen2.5 7B Instruct 1M Bnb 4bit	986K / 5.5 GB	267	1
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	63	4
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	37	3
Legal Qwen2.5 7B Sft	128K / 15.2 GB	104	0
Alisia 7B Instruct V1	128K / 15.4 GB	114	2
...5 7B Instruct SFT Meme LoRA V7	128K / 15.2 GB	6	0
Gte Qwen2 7B Instruct 4bit DWQ	128K / 4.3 GB	88	3
...en2.5 7B Indonesian Alpaca Sft	32K / 15.2 GB	340	1

Note: green Score (e.g. "73.2") means that the model is better than open-neo/Kyro-n1-7B.