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Llama 65B Instruct by upstage

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Llama 65B Instruct is an open-source language model by upstage. Features: 65b LLM, VRAM: 130.4GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.11, Arc: 68.9, HellaSwag: 86.4, MMLU: 64.8, GSM8K: 26.2.

  Deploy:azure   En   Endpoints compatible   Instruct   Instruction   Llama   Pytorch   Region:us   Sharded   Upstage
Model Card on HF 🤗: https://huggingface.co/upstage/llama-65b-instruct 

Llama 65B Instruct Benchmarks

ARC: 68.86 vs 96.7 (so35)-28.8%
HellaSwag: 86.43 vs 95.3 (gpt4)-9.3%
MMLU: 64.77 vs 88.3 (so35)-26.6%
GSM8K: 26.23 vs 96.4 (so35)-72.8%
LLME Score: 0.10694
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 65B Instruct (upstage/llama-65b-instruct)
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Llama 65B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Known limitations or unsuitable use cases not provided.
Additional Notes 
Tested for handling up to 10k+ input tokens.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
Orca-style dataset
Methodology:
fine-tuning
Hardware Used:
A100x8 * 4
Input Output 
Input Format:
Prompt format includes System, User, and Assistant text.
Accepted Modalities:
text
Output Format:
text generation output
Performance Tips:
Use 'rope_scaling' option for handling longer inputs.
LLM NameLlama 65B Instruct
Repository 🤗https://huggingface.co/upstage/llama-65b-instruct 
Model Size65b
Required VRAM130.4 GB
Updated2026-05-26
Maintainerupstage
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-14   9.7 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   4.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Llama 65B Instruct

Model
Likes
Downloads
VRAM
...stage Llama1 65B Instruct GGUF124227 GB
...pstage Llama1 65B Instruct AWQ11334 GB
...stage Llama1 65B Instruct GPTQ31834 GB

Best Alternatives to Llama 65B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Lite Oute 1 65M Instruct2K / 0.3 GB1712
Open Instruct Human Mix 65B2K / 260.8 GB13024
Open Instruct Sharegpt 65B2K / 260.8 GB172
...pen Instruct Human Mix 65B AWQ2K / 34.7 GB130
...en Instruct Human Mix 65B GPTQ2K / 33.5 GB70
...pstage Llama1 65B Instruct AWQ2K / 34.7 GB131
...stage Llama1 65B Instruct GPTQ2K / 34.7 GB183
Note: green Score (e.g. "73.2") means that the model is better than upstage/llama-65b-instruct.

Rank the Llama 65B Instruct 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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