Model Profile
Qwen2.5-Coder-3B-Instruct
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-Coder-3B-Instruct
Author: Qwen
Origin: huggingface_catalog
Arch: unknown
Benchmark Coverage
Scored use cases: 1
Avg confidence: 11.2%
Evidence points: 3
Raw rows: 14
Weighted rows: 4
Catalog Metadata
Parameters: unknown
Context window: 4096
Downloads: 166,203
Some fit rows have limited benchmark evidence.
1 of 1 scored use cases have low confidence or thin contributor coverage.
Coverage Diagnostics
actively scoredUse-Case Scores
1
Total Measurements
14
Weighted Measurements
4
Weighted Sources
2
Raw Source Coverage
Weighted Source Coverage
Best Use Cases for This Model
| Use Case | Score |
|---|---|
| Metric definition workshop use_case.data.metric_definition_workshop | 6.6% |
Deployment Fit Calculator
Model
Qwen2.5-Coder-3B-Instruct
Qwen/Qwen2.5-Coder-3B-Instruct
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 |