Model Profile

Meta-Llama-3-70B-Instruct

Name: Meta-Llama-3-70B-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/Meta-Llama-3-70B-Instruct

Author: meta-llama

Origin: huggingface_catalog

Arch: unknown

Benchmark Coverage

Scored use cases: 12

Avg confidence: 13.3%

Evidence points: 46

Raw rows: 107

Weighted rows: 8

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 61,344

Some fit rows have limited benchmark evidence.

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

Coverage Diagnostics

actively scored

Use-Case Scores

Total Measurements

107

Weighted Measurements

Weighted Sources

Raw Source Coverage

repoqa_leaderboard 74multilingual_mmlu_leaderboard 17icelandic_llm_leaderboard 7eq_bench 5artificialanalysis_judgemark_official 4

Weighted Source Coverage

eq_bench 2multilingual_mmlu_leaderboard 2repoqa_leaderboard 2artificialanalysis_judgemark_official 1icelandic_llm_leaderboard 1

Best Use Cases for This Model

Use Case	Vertical	Score	Confidence	Evidence	Top Contributor
Debugging assistant use_case.dev.debugging	developer_tools	14.9%	17.1%	4	RepoQA Official Results: overall_average_pass_at_1_pct
Unit test generation use_case.dev.test_generation	developer_tools	12.8%	14.8%	4	RepoQA Official Results: overall_average_pass_at_1_pct
Screenplay scene writing use_case.creative.screenplay_scene	creative	10.7%	16.4%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
Poetry and lyrics use_case.creative.poetry_lyrics	creative	10.7%	16.4%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
Refactoring assistant use_case.dev.refactoring	developer_tools	10.6%	12.2%	4	RepoQA Official Results: overall_average_pass_at_1_pct
Personalized sales outreach use_case.mkt.sales_outreach_personalized	marketing_sales	9.3%	11.7%	3	EQ-Bench Leaderboard: eq_bench_score
Ad copy variants use_case.mkt.ad_copy_variants	marketing_sales	9.3%	11.7%	3	EQ-Bench Leaderboard: eq_bench_score
Long-form story co-author use_case.creative.longform_story	creative	9.1%	13.9%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
Interactive fiction / DM use_case.creative.interactive_fiction_dm	creative	7.8%	11.9%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
NPC dialogue use_case.gaming.npc_dialogue	creative	7.8%	11.9%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
Lore bible generator use_case.creative.lore_bible	creative	6.7%	10.2%	4	Judgemark Official (EQ-Bench Slice): judgemark_score
Archaic and historical translation use_case.history.archaic_translation	history_linguistics	1.8%	11.1%	4	Icelandic LLM Leaderboard: Average ⬆️

Deployment Fit Calculator

Model

Meta-Llama-3-70B-Instruct

meta-llama/Meta-Llama-3-70B-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