Llama-3.3-70B-Instruct

Checkpointmeta-llama/Llama-3.3-70B-InstructModel card indexedModel card

Support summary

Llama-3.3-70B-Instruct is a checkpoint published by Meta, built on the LlamaForCausalLM architecture. vLLM 0.28.0, the newest indexed vLLM release, documents support. Official recipes or cookbooks cover SGLang, without pinning a stable release. TensorRT-LLM lists its architecture, but not this exact checkpoint.

vLLM documents support in 10 of 20 indexed releases, from 0.22.0 to 0.28.0.

Documented hardware
CPU, NVIDIA / CUDA, and AMD / ROCm
Documented quantization
BF16
Documented features
Tool calling
License
llama3.3

Hardware, quantization and features count only statements about this checkpoint; engine-wide capabilities are listed with each release.

Hugging Face model card
Publisher
Meta
Task
text generation
License
llama3.3
Library
transformers
Architecture
LlamaForCausalLM
Weight tensor elements
70.6B
Tensor types
BF16
Languages
en, fr, it, pt, hi, es, th, de
Base models
meta-llama/Llama-3.1-70B
Weight access
Publisher approval or terms required
Repository created
2024-11-26
Source 1: meta-llama/Llama-3.3-70B-Instruct · publisher model cardSource 2: meta-llama/Llama-3.3-70B-Instruct · Hugging Face metadataReviewed
Model notes and sources

Engine support

3 engines

Engine support for Llama-3.3-70B-Instruct
EngineReleaseCheckpoint supportEvidence scopeLast known supported
vLLMVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source: vllm · models/meta-llama/Llama-3.3-70B-Instruct.yamlReviewed
View 0.28.0
Features, dependencies and evidence for vLLM 0.28.0
SGLangVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source 1: sglang · docs/cookbook/autoregressive/Meta/Llama3.3-70B.mdxSource 2: sglang · docs/src/snippets/autoregressive/llama33-70b-deployment.jsxReviewed
No supported release indexed
Features, dependencies and evidence for SGLang 0.5.19
TensorRT-LLM1.2.1Newest indexedArchitecture listed; exact checkpoint unknownNo supported release indexed
Features, dependencies and evidence for TensorRT-LLM 1.2.1

Recipes and cookbooks