From the model card
Fields below are copied from the tags and counters on the HuggingFace repository meta-llama/Meta-Llama-3-8B at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- meta-llama
- Pipeline tag
- text-generation
- Library
- Transformers
- Framework tags
- PyTorch
- Weight formats
- safetensors
- License tag
llama3— read the license file in the repo before relying on it- Language tags
- English (en)
- Downloads (HF counter at last fetch)
- 421,235
- Likes (HF counter at last fetch)
- 6,643
- Model card
- https://huggingface.co/meta-llama/Meta-Llama-3-8B
Use cases
- Base for supervised fine-tuning on domain-specific tasks
- Continued pretraining for specialized corpora
- Benchmark baseline for 7–8B class language models
- Local LLM deployment where Llama 3.1/3.2 is unavailable
Pros
- Llama 3 license permits broad commercial use (with Meta's terms)
- 128K vocabulary improves non-English tokenization efficiency
- Strong coding and reasoning base for its parameter class
- Wide ecosystem support across vLLM, llama.cpp, Ollama
Cons
- Base model requires fine-tuning for chat or instruction following
- Llama 3.1 and 3.2 supersede it with improved quality
- 128K context available only in Llama 3.1 variant
- Cannot be used to train models that compete with Meta's offerings
Tags
transformerssafetensorsllamatext-generationfacebookmetapytorchllama-3enlicense:llama3eval-resultstext-generation-inferenceendpoints_compatibleregion:usdeploy:sagemaker