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Meta Llama 3 120B Instruct by mlabonne

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  Merged Model   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/Meta-Llama-3-120B-Instruct 

Meta Llama 3 120B Instruct Benchmarks

LLME Score: 0.17184
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 120B Instruct (mlabonne/Meta-Llama-3-120B-Instruct)
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Meta Llama 3 120B Instruct Parameters and Internals

Use Cases 
Applications:
Creative Writing
Primary Use Cases:
Creative Writing
Limitations:
Struggles in tasks other than creative writing, potential typos and frequent use of uppercase
Considerations:
Use with caution and do not expect it to outperform GPT-4 outside of some specific use cases.
Additional Notes 
Outputs sometimes include typos and uppercase usage.
LLM NameMeta Llama 3 120B Instruct
Repository 🤗https://huggingface.co/mlabonne/Meta-Llama-3-120B-Instruct 
Base Model(s)  Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   Meta Llama 3 70B Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct   meta-llama/Meta-Llama-3-70B-Instruct
Merged ModelYes
Model Size70b
Required VRAM243.9 GB
Updated2025-09-08
Maintainermlabonne
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-25   9.8 GB: 2-of-25   9.8 GB: 3-of-25   9.8 GB: 4-of-25   10.0 GB: 5-of-25   9.8 GB: 6-of-25   9.8 GB: 7-of-25   9.8 GB: 8-of-25   10.0 GB: 9-of-25   9.8 GB: 10-of-25   9.8 GB: 11-of-25   10.0 GB: 12-of-25   9.8 GB: 13-of-25   9.8 GB: 14-of-25   9.8 GB: 15-of-25   10.0 GB: 16-of-25   9.8 GB: 17-of-25   9.8 GB: 18-of-25   9.9 GB: 19-of-25   10.0 GB: 20-of-25   9.6 GB: 21-of-25   9.8 GB: 22-of-25   9.9 GB: 23-of-25   9.7 GB: 24-of-25   7.6 GB: 25-of-25
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

Quantized Models of the Meta Llama 3 120B Instruct

Model
Likes
Downloads
VRAM
Meta Llama 3 70B Instruct GPTQ16166239 GB
Meta Llama 3 70B Instruct AWQ12124339 GB
Meta Llama 3 70B Instruct 4bit7123339 GB
Meta Llama 3 70B Instruct AWQ1339 GB
Meta Llama 3 70B Instruct GPTQ0539 GB
Meta Llama 3 70B Instruct 8bit64075 GB
Meta Llama 3 70B Instruct AWQ0739 GB
Meta Llama 3 70B Instruct GPTQ2339 GB
Meta Llama 3 70B Instruct GPTQ2739 GB

Best Alternatives to Meta Llama 3 120B Instruct

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Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
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...a 3 70B Instruct Gradient 524K512K / 141.9 GB523
...a 3 70B Instruct Gradient 262K256K / 141.9 GB14956
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB303
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB110
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB343
...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB935912052
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Meta-Llama-3-120B-Instruct.

Rank the Meta Llama 3 120B 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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Release v20241124
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