What are the hardware requirements for K2 Chat?

K2 Chat requires approximately 260.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed K2 Chat and how large is it?

K2 Chat is developed by LLM360, a model with 65.3b 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 K2 Chat?

K2 Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

K2 Chat by LLM360 — VRAM 260.8GB, 8K context

Name: K2 Chat
Author: LLM360

K2 Chat is an open-source language model by LLM360. Features: 65.3b LLM, VRAM: 260.8GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.2.

Arxiv:2109.01652 Conversational Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/LLM360/K2-Chat

K2 Chat Parameters and Internals

Model Type

large language model

Training Details

Data Sources:

https://huggingface.co/datasets/TIGER-Lab/MathInstruct, https://huggingface.co/datasets/teknium/OpenHermes-2.5, https://arxiv.org/abs/2109.01652, https://huggingface.co/datasets/AiresPucrs/stanford-encyclopedia-philosophy, https://huggingface.co/datasets/roneneldan/TinyStories

Data Volume:

2,920,634,227 tokens

LLM Name	K2 Chat
Repository 🤗	https://huggingface.co/LLM360/K2-Chat
Model Size	65.3b
Required VRAM	260.8 GB
Updated	2026-07-18
Maintainer	LLM360
Model Type	llama
Model Files	9.3 GB: 1-of-27 9.7 GB: 2-of-27 9.7 GB: 3-of-27 9.7 GB: 4-of-27 9.7 GB: 5-of-27 9.7 GB: 6-of-27 9.7 GB: 7-of-27 9.7 GB: 8-of-27 9.7 GB: 9-of-27 9.7 GB: 10-of-27 9.7 GB: 11-of-27 9.7 GB: 12-of-27 9.7 GB: 13-of-27 9.7 GB: 14-of-27 9.7 GB: 15-of-27 9.7 GB: 16-of-27 9.7 GB: 17-of-27 9.7 GB: 18-of-27 9.7 GB: 19-of-27 9.7 GB: 20-of-27 9.7 GB: 21-of-27 9.7 GB: 22-of-27 9.7 GB: 23-of-27 9.7 GB: 24-of-27 9.7 GB: 25-of-27 9.7 GB: 26-of-27 9.0 GB: 27-of-27
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32032
Torch Data Type	float32

Rank the K2 Chat 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 K2 Chat

Best Alternatives	Context / RAM	Downloads	Likes
LWM Text 512K	512K / 13.5 GB	13	2
LWM Text Chat 512K	512K / 13.5 GB	9	2
LWM Text Chat 256K	256K / 13.5 GB	10	3
LWM Text 256K	256K / 13.5 GB	5	3
Pallas 0.5 LASER 0.1	195K / 68.9 GB	52	2
SnorTTS Indic V0	128K / 9.5 GB	518	22
Orpheus AUS	128K / GB	18	0
Finetuning Health Ci	128K / 6.5 GB	23	2
Ukr Synth Phi 3.5	128K / 7.6 GB	9	0
WizardLM Phi 3.5	128K / 7.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than LLM360/K2-Chat.