Model Profile
Mistral-7B-Instruct-v0.2
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: mistralai/Mistral-7B-Instruct-v0.2
Author: mistralai
Origin: huggingface_catalog
Arch: unknown
Benchmark Coverage
Scored use cases: 3
Avg confidence: 13.0%
Evidence points: 9
Raw rows: 99
Weighted rows: 3
Catalog Metadata
Parameters: unknown
Context window: 4096
Downloads: 2,447,878
Some fit rows have limited benchmark evidence.
3 of 3 scored use cases have low confidence or thin contributor coverage.
Coverage Diagnostics
actively scoredUse-Case Scores
3
Total Measurements
99
Weighted Measurements
3
Weighted Sources
2
Raw Source Coverage
Weighted Source Coverage
Best Use Cases for This Model
| Use Case | Score |
|---|---|
| Debugging assistant use_case.dev.debugging | 9.9% |
| Unit test generation use_case.dev.test_generation | 8.4% |
| Refactoring assistant use_case.dev.refactoring | 6.8% |
Deployment Fit Calculator
Model
Mistral-7B-Instruct-v0.2
mistralai/Mistral-7B-Instruct-v0.2
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 |