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K2 by LLM360

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K2 is an open-source language model by LLM360. Features: 65.3b LLM, VRAM: 131.7GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.19, Arc: 64, HellaSwag: 85.7, MMLU: 68, GSM8K: 48.7.

  En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LLM360/K2 

K2 Benchmarks

ARC: 63.99 vs 96.7 (so35)-33.8%
HellaSwag: 85.71 vs 95.3 (gpt4)-10.1%
MMLU: 67.99 vs 88.3 (so35)-23%
GSM8K: 48.67 vs 96.4 (so35)-49.5%
LLME Score: 0.18972
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
K2 (LLM360/K2)
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K2 Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (proficient)
Training Details 
Data Sources:
dm-math, pubmed-abstracts, uspto, pubmed-central, redpajama.arxiv, starcoder.spm, starcoder.fim, redpajama.stackexchange, starcoder, pile-of-law, redpajama.book, s2orc, redpajama.wikipedia, refinedweb
Data Volume:
1.4T tokens
LLM NameK2
Repository 🤗https://huggingface.co/LLM360/K2 
Model Size65.3b
Required VRAM131.7 GB
Updated2026-06-08
MaintainerLLM360
Model Typellama
Model Files  4.7 GB: 1-of-27   4.9 GB: 2-of-27   4.9 GB: 3-of-27   4.9 GB: 4-of-27   4.9 GB: 5-of-27   4.9 GB: 6-of-27   4.9 GB: 7-of-27   4.9 GB: 8-of-27   4.9 GB: 9-of-27   4.9 GB: 10-of-27   4.9 GB: 11-of-27   4.9 GB: 12-of-27   4.9 GB: 13-of-27   4.9 GB: 14-of-27   4.9 GB: 15-of-27   4.9 GB: 16-of-27   4.9 GB: 17-of-27   4.9 GB: 18-of-27   4.9 GB: 19-of-27   4.9 GB: 20-of-27   4.9 GB: 21-of-27   4.9 GB: 22-of-27   4.9 GB: 23-of-27   4.9 GB: 24-of-27   4.9 GB: 25-of-27   4.9 GB: 26-of-27   4.5 GB: 27-of-27
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32032
Torch Data Typefloat16

Rank the K2 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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