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 13B Fp16 by TheBloke

 »  All LLMs  »  TheBloke  »  Llama 2 13B Fp16   URL Share it on

  6645   
  Autotrain compatible   En   Facebook   Fp16   Llama   Llama2   Meta   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TheBloke/Llama-2-13B-fp16 

Llama 2 13B Fp16 Benchmarks

ARC: 59.3 vs 96.7 (so35)-38.7%
HellaSwag: 82.15 vs 95.3 (gpt4)-13.8%
MMLU: 55.67 vs 88.3 (so35)-37%
TruthfulQA: 37.39 vs 59 (gpt4)-36.6%
WinoGrande: 76.64 vs 87.5 (gpt4)-12.4%
GSM8K: 10.84 vs 96.4 (so35)-88.8%
LLME Score: 0.18432
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 13B Fp16 (TheBloke/Llama-2-13B-fp16)

Llama 2 13B Fp16 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Primary Use Cases:
Dialogue and natural language generation tasks
Limitations:
Use in languages other than English, Use violating applicable laws
Considerations:
Specific formatting required for chat versions.
Supported Languages 
English (primary)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
2 trillion tokens
Methodology:
Supervised fine-tuning and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Training Time:
Jan 2023 - July 2023
Hardware Used:
Meta's Research Super Cluster, A100-80GB GPUs
Model Architecture:
Auto-regressive with optimized transformer architecture
Responsible Ai Considerations 
Fairness:
Testing has been conducted primarily in English and may not cover all scenarios, hence outputs may be inaccurate or biased.
Transparency:
Model outputs cannot be predicted in advance.
Accountability:
Developers should perform safety testing before deploying applications.
Mitigation Strategies:
Fine-tuning and human feedback alignment strategies used for alignment to human preferences.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Follow `INST` and `<>` tags, `BOS` and `EOS` tokens, proper whitespaces for chat models
LLM NameLlama 2 13B Fp16
Repository 🤗https://huggingface.co/TheBloke/Llama-2-13B-fp16 
Base Model(s)  Ligma L2 13B   kubernetes-bad/Ligma-L2-13b
Model Size13b
Required VRAM26 GB
Updated2025-02-05
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.2 GB: 3-of-3
Supported Languagesen
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.30.2
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 13B Fp16

Model
Likes
Downloads
VRAM
LLaMA2 13B Estopia2015726 GB
...MA2 13B Estopia 8.0bpw H8 EXL21613 GB
...MA2 13B Estopia 3.0bpw H6 EXL2165 GB
Storytelling V2 13B Lora7120 GB
Lmg V3 Lora2120 GB
Storytelling V1 13B Lora6180 GB
Minotaur Llama2 13B Qlora461 GB

Best Alternatives to Llama 2 13B Fp16

Best Alternatives
Context / RAM
Downloads
Likes
Llama13b 32K Illumeet Finetune32K / 26 GB50
...Maid V3 13B 32K 6.0bpw H6 EXL232K / 10 GB41
...Maid V3 13B 32K 8.0bpw H8 EXL232K / 13.2 GB41
WhiteRabbitNeo 13B V116K / 26 GB2329411
CodeLlama 13B Python Fp1616K / 26 GB235725
CodeLlama 13B Instruct Fp1616K / 26 GB243528
Codellama 13B Bnb 4bit16K / 7.2 GB1031
CodeLlama 13B Fp1616K / 26 GB1866
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB662
Airophin 13B Pntk 16K Fp1616K / 26 GB12414
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Llama-2-13B-fp16.

Rank the Llama 2 13B Fp16 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? 42625 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 v20241227
  Support LLM Explorer