Llama-3.1-8B-Instruct

Checkpointmeta-llama/Llama-3.1-8B-InstructDetailed entryModel card

Support summary

Llama-3.1-8B-Instruct is a checkpoint published by Meta, built on the LlamaForCausalLM architecture. The newest indexed releases vLLM 0.28.0 and SGLang 0.5.19 both document support. TensorRT-LLM lists its architecture, but not this exact checkpoint.

vLLM documents support in 20 of 20 indexed releases, from 0.17.0 to 0.28.0. SGLang documents support in 13 of 13 indexed releases, from 0.5.10 to 0.5.19.

Documented hardware
CPU, NVIDIA / CUDA, AMD / ROCm, and Intel GPU / XPU
Documented quantization
BF16
Documented features
Speculative decoding and Tool calling
License
llama3.1

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
llama3.1
Library
transformers
Architecture
LlamaForCausalLM
Weight tensor elements
8B
Tensor types
BF16
Languages
en, de, fr, it, pt, hi, es, th
Base models
meta-llama/Meta-Llama-3.1-8B
Weight access
Publisher approval or terms required
Repository created
2024-07-18
Source 1: meta-llama/Llama-3.1-8B-Instruct · publisher model cardSource 2: meta-llama/Llama-3.1-8B-Instruct · Hugging Face metadataReviewed
Model notes and sources

Tool calling has an exact vLLM example. Keep its parser and chat template together.

Engine support

3 engines

Engine support for Llama-3.1-8B-Instruct
EngineReleaseCheckpoint supportEvidence scopeLast known supported
vLLMVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source: vllm · models/meta-llama/Llama-3.1-8B-Instruct.yamlReviewed
View 0.28.0
Features, dependencies and evidence for vLLM 0.28.0
SGLang0.5.19Newest indexedCheckpoint evidenceSource: SGLang v0.5.19 · docs/docs/hardware-platforms/xpu.mdxReviewed 0.5.19This release
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