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Model Profile

Llama-3.1-70B-Instruct

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-3.1-70B-Instruct

Author: meta-llama

Origin: huggingface_catalog

Arch: unknown

Benchmark Coverage

Scored use cases: 12

Avg confidence: 23.8%

Evidence points: 122

Raw rows: 125

Weighted rows: 19

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 716,624

Some fit rows have limited benchmark evidence.

8 of 12 scored use cases have low confidence or thin contributor coverage.

Coverage Diagnostics

actively scored

Use-Case Scores

54

Total Measurements

125

Weighted Measurements

19

Weighted Sources

9

Raw Source Coverage

ugi_main 60multilingual_mmlu_leaderboard 17duckdb_nsql_leaderboard 12languagebench 10bridge_medical_leaderboard 9languagebench_grammar_clarity_official 4

Weighted Source Coverage

languagebench 3languagebench_translation_official 3ugi_main 3aider_code_editing 2bridge_medical_leaderboard 2duckdb_nsql_leaderboard 2

Best Use Cases for This Model

Use CaseScore
Archaic and historical translation

use_case.history.archaic_translation

19.0%
Grammar and writing coach

use_case.lang.grammar_coach

14.7%
Legal translation

use_case.legal.legal_translation

14.7%
Historical document summarization

use_case.history.historical_doc_summarization

14.1%
Language conversation partner

use_case.lang.conversation_partner

13.7%
Brand voice localization

use_case.mkt.brand_voice_localization

13.5%
Patient-friendly explanations

use_case.health.patient_friendly_summaries

12.2%
Lesson plan generator

use_case.edu.lesson_plan_generator

11.8%
Socratic tutor

use_case.edu.socratic_tutor

11.8%
Translation and localization

use_case.business.translation_localization

11.7%
Grading and feedback assistant

use_case.edu.grading_feedback_assist

11.2%
Exercise generator

use_case.edu.exercise_generator

11.0%

Deployment Fit Calculator

Model

Llama-3.1-70B-Instruct

meta-llama/Llama-3.1-70B-Instruct

2-bit8-bit

Insufficient

Unknown parameter count. Cannot estimate deployment fit.

Required VRAM

~0.0GB

Est. Throughput

0.00 tok/s

Deployment Fit Matrix

GPU4-bit6-bit8-bit
RTX 3060 12GBInsufficientInsufficientInsufficient
RTX 3090 24GBInsufficientInsufficientInsufficient
RTX 4090 24GBInsufficientInsufficientInsufficient
Mac Studio M2 Ultra 192GBInsufficientInsufficientInsufficient