What are the hardware requirements for KONI 7B R 20250831?

KONI 7B R 20250831 requires approximately 14.5 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 KONI 7B R 20250831 and how large is it?

KONI 7B R 20250831 is developed by KISTI-KONI, 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 KONI 7B R 20250831 perform on standard benchmarks?

KONI 7B R 20250831 has the following published scores: LMSYS ELO 1390. Compare against reference models on this page or on the LLM Explorer leaderboards.

KONI 7B R 20250831 by KISTI-KONI — VRAM 14.5GB, 32K context

Name: KONI 7B R 20250831
Author: KISTI-KONI

KONI 7B R 20250831 is an open-source language model by KISTI-KONI. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.33, ELO: 1390.

7b A.x 3 Base model:finetune:skt/a.x-3.... Base model:skt/a.x-3.1-light Conversational En Endpoints compatible Kisti Ko Koni Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KISTI-KONI/KONI-7B-R-20250831

KONI 7B R 20250831 Benchmarks

LMSys ELO 1390 vs 1272 (so35) 9.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

KONI 7B R 20250831 Parameters and Internals

LLM Name	KONI 7B R 20250831
Repository 🤗	https://huggingface.co/KISTI-KONI/KONI-7B-R-20250831
Base Model(s)	skt/A.X-3.1-Light skt/A.X-3.1-Light
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-23
Maintainer	KISTI-KONI
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	ko en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	102400
Torch Data Type	bfloat16
Errors	replace

Rank the KONI 7B R 20250831 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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