Model Profile

Llama-3.1-8B-Instruct

Name: Llama-3.1-8B-Instruct
Author: meta-llama

4,096 ctxOpen weights

Use this page to decide where this model is a strong fit. Rankings below are benchmark-backed by use case, with explicit confidence and contributor metrics.

Identity

ID: meta-llama/Llama-3.1-8B-Instruct

Author: meta-llama

Origin: huggingface_catalog

Arch: unknown

Benchmark Coverage

Scored use cases: 5

Avg confidence: 10.7%

Evidence points: 21

Raw rows: 103

Weighted rows: 11

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 5,867,664

Some fit rows have limited benchmark evidence.

5 of 5 scored use cases have low confidence or thin contributor coverage.

Coverage Diagnostics

actively scored

Use-Case Scores

Total Measurements

103

Weighted Measurements

Weighted Sources

Raw Source Coverage

ugi_main 60multilingual_mmlu_leaderboard 17jsonschemabench_leaderboard 12bridge_medical_leaderboard 9openrouter_models 3aider_code_editing 2

Weighted Source Coverage

ugi_main 3aider_code_editing 2bridge_medical_leaderboard 2jsonschemabench_leaderboard 2multilingual_mmlu_leaderboard 2

Best Use Cases for This Model

Use Case	Vertical	Score	Confidence	Evidence	Top Contributor
Metric definition workshop use_case.data.metric_definition_workshop	data_analytics	7.1%	11.5%	4	JSONSchemaBench Leaderboard: medium_schema_compliance_pct
Historical document summarization use_case.history.historical_doc_summarization	history_linguistics	2.4%	10.9%	5	JSONSchemaBench Leaderboard: medium_schema_compliance_pct
Poetry and lyrics use_case.creative.poetry_lyrics	creative	2.1%	10.4%	4	UGI Leaderboard: Writing ✍️
Screenplay scene writing use_case.creative.screenplay_scene	creative	2.1%	10.4%	4	UGI Leaderboard: Writing ✍️
Adult ERP roleplay (explicit) use_case.adult.erp_roleplay	adult	2.0%	10.3%	4	UGI Leaderboard: Writing ✍️

Deployment Fit Calculator

Model

Llama-3.1-8B-Instruct

meta-llama/Llama-3.1-8B-Instruct

Hardware

Quantization: 4-bit

2-bit8-bit

Insufficient

Unknown parameter count. Cannot estimate deployment fit.

Required VRAM

~0.0GB

Est. Throughput

0.00 tok/s

Deployment Fit Matrix

GPU	4-bit	6-bit	8-bit
RTX 3060 12GB	Insufficient	Insufficient	Insufficient
RTX 3090 24GB	Insufficient	Insufficient	Insufficient
RTX 4090 24GB	Insufficient	Insufficient	Insufficient
Mac Studio M2 Ultra 192GB	Insufficient	Insufficient	Insufficient