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Llama 2 13B Fp16 by TheBloke

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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: 0.13221
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)
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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
Updated2025-10-28
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 Estopia212126 GB
...MA2 13B Estopia 8.0bpw H8 EXL21613 GB
...MA2 13B Estopia 3.0bpw H6 EXL2105 GB
Storytelling V2 13B Lora750 GB
Lmg V3 Lora240 GB
Storytelling V1 13B Lora660 GB
Minotaur Llama2 13B Qlora491 GB
Minotaur Llama2 13B Qlora431 GB

Best Alternatives to Llama 2 13B Fp16

Best Alternatives
Context / RAM
Downloads
Likes
Llama13b 32K Illumeet Finetune32K / 26 GB90
...Maid V3 13B 32K 6.0bpw H6 EXL232K / 10 GB71
...Maid V3 13B 32K 8.0bpw H8 EXL232K / 13.2 GB71
WhiteRabbitNeo 13B V116K / 26 GB2649429
CodeLlama 13B Python Fp1616K / 26 GB283325
CodeLlama 13B Instruct Fp1616K / 26 GB284728
...Llama 13B Instruct Hf 4bit MLX16K / 7.8 GB11962
CodeLlama 13B Fp1616K / 26 GB766
Codellama 13B Bnb 4bit16K / 7.2 GB205
Airophin 13B Pntk 16K Fp1616K / 26 GB7884
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  

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Release v20241124
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