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K2 Chat by LLM360

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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: 0.21.

  Arxiv:2109.01652   Conversational   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/LLM360/K2-Chat 

K2 Chat Benchmarks

MMLU Pro: 26.34
GPQA: 7.49
MUSR: 16.82
BBH: 33.79
IFEval: 51.52 vs 88 (so35)-41.5%
MATH Lvl 5: 10.35
LLME Score: 0.21315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
K2 Chat (LLM360/K2-Chat)
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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 NameK2 Chat
Repository 🤗https://huggingface.co/LLM360/K2-Chat 
Model Size65.3b
Required VRAM260.8 GB
Updated2026-04-01
MaintainerLLM360
Model Typellama
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 ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32032
Torch Data Typefloat32

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LWM Text 256K256K / 13.5 GB113
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SnorTTS Indic V0128K / 9.5 GB81721
Orpheus AUS128K /  GB50
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Finetuning Health Ci128K / 6.5 GB22
LLaMA Mesh128K / 16.1 GB452181
Note: green Score (e.g. "73.2") means that the model is better than LLM360/K2-Chat.

Rank the K2 Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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