LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Llama 2 70B Hf by meta-llama

 »  All LLMs  »  meta-llama  »  Llama 2 70B Hf   URL Share it on

  16950   
  Arxiv:2307.09288   Autotrain compatible   En   Endpoints compatible   Facebook   Llama   Llama2   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-2-70b-hf 

Llama 2 70B Hf Benchmarks

MMLU Pro: 30.2
GPQA: 7.05
MUSR: 9.78
BBH: 35.9
IFEval: 24.07 vs 88 (so35)-72.6%
ARC: 67.32 vs 96.7 (so35)-30.4%
HellaSwag: 87.33 vs 95.3 (gpt4)-8.4%
MMLU: 69.83 vs 88.3 (so35)-20.9%
TruthfulQA: 44.92 vs 59 (gpt4)-23.9%
WinoGrande: 83.74 vs 87.5 (gpt4)-4.3%
GSM8K: 54.06 vs 96.4 (so35)-43.9%
MATH Lvl 5: 3.25
LLME Score: 0.24425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 70B Hf (meta-llama/Llama-2-70b-hf)
🌟 Advertise your project 🚀

Llama 2 70B Hf Parameters and Internals

Model Type 
Generative text
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat
Primary Use Cases:
Natural language generation tasks
Limitations:
Use cases not covered extensively in languages other than English.
Considerations:
Developers should ensure the responsible use of models.
Additional Notes 
Tuned models optimized for dialogue. High carbon footprint during pretraining offset by Meta's sustainability program. Modeled potential relationships between text sequences to predict next items in sequences safely and effectively.
Supported Languages 
English (Primary language for intended use)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Uses a mix of publicly available online data. Fine-tuned using Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
Context Length:
4000
Hardware Used:
A100-80GB (TDP of 350-400W)
Model Architecture:
Optimized transformer architecture
Responsible Ai Considerations 
Fairness:
Model may produce inaccurate, biased, or objectionable outputs.
Transparency:
Transparency measures are in place for users.
Accountability:
Developers should perform safety testing tailored to specific applications.
Mitigation Strategies:
Safety testing and tuning recommended by Meta before deployment.
Input Output 
Input Format:
Text only
Accepted Modalities:
Text
Output Format:
Text only
Performance Tips:
Specific formatting needs for chat versions, including the use of `INST` and `<>` tags, `BOS` and `EOS` tokens, and appropriate whitespace management.
LLM NameLlama 2 70B Hf
Repository 🤗https://huggingface.co/meta-llama/Llama-2-70b-hf 
Model Size70b
Required VRAM138 GB
Updated2025-09-23
Maintainermeta-llama
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15   9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Llama 2 70B Hf

Model
Likes
Downloads
VRAM
Llama 2 70B GPTQ83459735 GB
Tulu 2 DPO 70B 4.0bpw H6 EXL21735 GB
Tulu 2 DPO 70B 5.0bpw H6 EXL221043 GB
Tulu 2 70B 6.0bpw H6 EXL21252 GB
Tulu 2 DPO 70B 2.4bpw H6 EXL21721 GB
Llama 2 70B GGUF31104129 GB
Llama 2 70B AWQ1465236 GB

Best Alternatives to Llama 2 70B Hf

Best Alternatives
Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB98265
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB13122
Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB1023
...a 3 70B Instruct Gradient 262K256K / 141.9 GB11456
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB263
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB463
Yi 70B 200K RPMerge Franken195K / 142.4 GB21

Rank the Llama 2 70B Hf 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  

What open-source LLMs or SLMs are you in search of? 51545 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer