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LLaMA Pro 8B Instruct by TencentARC

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LLaMA Pro 8B Instruct is an open-source language model by TencentARC. Features: 8b LLM, VRAM: 16.7GB, Context: 4K, License: llama2, Instruction-Based, HF Score: 58.1, LLM Explorer Score: 0.19, Arc: 53, HellaSwag: 77, MMLU: 52.6, TruthfulQA: 49.4, WinoGrande: 72.2, GSM8K: 44.2.

  Conversational   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TencentARC/LLaMA-Pro-8B-Instruct 

LLaMA Pro 8B Instruct Benchmarks

MMLU Pro: 10.51
GPQA: 3.24
MUSR: 11.11
BBH: 19.49
IFEval: 44.86 vs 88 (so35)-49%
ARC: 52.99 vs 96.7 (so35)-45.2%
HellaSwag: 76.98 vs 95.3 (gpt4)-19.2%
MMLU: 52.58 vs 88.3 (so35)-40.5%
TruthfulQA: 49.43 vs 59 (gpt4)-16.2%
WinoGrande: 72.22 vs 87.5 (gpt4)-17.5%
GSM8K: 44.2 vs 96.4 (so35)-54.1%
MATH Lvl 5: 2.49
LLME Score: 0.19266
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA Pro 8B Instruct (TencentARC/LLaMA-Pro-8B-Instruct)
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LLaMA Pro 8B Instruct Parameters and Internals

Model Type 
programming, coding, mathematical reasoning, general language tasks
Use Cases 
Primary Use Cases:
programming, mathematical reasoning, general language processing
Limitations:
may encounter difficulties in highly niche or nuanced tasks
Training Details 
Data Sources:
coding and mathematical data
Data Volume:
over 80 billion tokens
Methodology:
block expansion techniques
Responsible Ai Considerations 
Mitigation Strategies:
Users are advised to consider inherent biases and responsibly manage its application across various fields.
LLM NameLLaMA Pro 8B Instruct
Repository 🤗https://huggingface.co/TencentARC/LLaMA-Pro-8B-Instruct 
Model Size8b
Required VRAM16.7 GB
Updated2026-03-29
MaintainerTencentARC
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   6.7 GB: 2-of-2   10.0 GB: 1-of-2   6.7 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.3
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 Pro 8B Instruct

Model
Likes
Downloads
VRAM
LLaMA Pro 8B Instruct GGUF2311903 GB
LLaMA Pro 8B Instruct GPTQ674 GB
LLaMA Pro 8B Instruct AWQ2194 GB

Best Alternatives to LLaMA Pro 8B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB81119
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
UltraLong Thinking4192K / 16.1 GB13
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB4017
Cthulhu 8B V1.41048K / 16.1 GB229
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB179455
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
Zero Llama 3.1 8B Beta61048K / 16.1 GB21
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than TencentARC/LLaMA-Pro-8B-Instruct.

Rank the LLaMA Pro 8B 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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