What are the hardware requirements for Kanana 1.5 2.1B Instruct 2505?

Kanana 1.5 2.1B Instruct 2505 requires approximately 4.6 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 Kanana 1.5 2.1B Instruct 2505 and how large is it?

Kanana 1.5 2.1B Instruct 2505 is developed by kakaocorp, a model with 2.1b 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 Kanana 1.5 2.1B Instruct 2505?

Kanana 1.5 2.1B Instruct 2505 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kanana 1.5 2.1B Instruct 2505 by kakaocorp — VRAM 4.6GB, 32K context

Name: Kanana 1.5 2.1B Instruct 2505
Author: kakaocorp

Kanana 1.5 2.1B Instruct 2505 is an open-source language model by kakaocorp. Features: 2.1b LLM, VRAM: 4.6GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2502.18934 Conversational En Endpoints compatible Instruct Ko Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/kakaocorp/kanana-1.5-2.1b-instruct-2505

Kanana 1.5 2.1B Instruct 2505 Parameters and Internals

LLM Name	Kanana 1.5 2.1B Instruct 2505
Repository 🤗	https://huggingface.co/kakaocorp/kanana-1.5-2.1b-instruct-2505
Model Size	2.1b
Required VRAM	4.6 GB
Updated	2026-07-28
Maintainer	kakaocorp
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB
Supported Languages	en ko
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	128259
Torch Data Type	bfloat16

Rank the Kanana 1.5 2.1B Instruct 2505 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 Kanana 1.5 2.1B Instruct 2505

Best Alternatives	Context / RAM	Downloads	Likes
Fc Reasoning 2.1B	32K / 4.2 GB	8	0
Kanana Nano 2.1B Instruct	8K / 4.2 GB	1025	75
EcomGen 0.0.2v	8K / 8.4 GB	8	0
Phi 3.5 Pii Test 13	128K / 7.6 GB	5	0
...Nano 2.1B Instruct Abliterated	8K / 8.4 GB	10	4