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Model Profile

Mistral-7B-Instruct-v0.2

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: 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 scored

Use-Case Scores

3

Total Measurements

99

Weighted Measurements

3

Weighted Sources

2

Raw Source Coverage

repoqa_leaderboard 74compl_ai_board 24eq_bench 1

Weighted Source Coverage

repoqa_leaderboard 2eq_bench 1

Best Use Cases for This Model

Use CaseScore
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

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