Model Profile

Qwen2.5-14B-Instruct

Name: Qwen2.5-14B-Instruct
Author: Qwen

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: Qwen/Qwen2.5-14B-Instruct

Author: Qwen

Origin: huggingface_catalog

Arch: unknown

Benchmark Coverage

Scored use cases: 1

Avg confidence: 11.2%

Evidence points: 3

Raw rows: 84

Weighted rows: 6

Catalog Metadata

Parameters: unknown

Context window: 4096

Downloads: 918,865

Some fit rows have limited benchmark evidence.

1 of 1 scored use cases have low confidence or thin contributor coverage.

Coverage Diagnostics

actively scored

Use-Case Scores

Total Measurements

Weighted Measurements

Weighted Sources

Raw Source Coverage

ugi_main 60jsonschemabench_leaderboard 12artifactsbenchmark_leaderboard 11eq_bench 1

Weighted Source Coverage

ugi_main 3jsonschemabench_leaderboard 2eq_bench 1

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	8.1%	11.2%	3	JSONSchemaBench Leaderboard: medium_schema_compliance_pct

Deployment Fit Calculator

Model

Qwen2.5-14B-Instruct

Qwen/Qwen2.5-14B-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