metadata
pretty_name: mfs_variability_v2
configs:
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data_files: data/mfs_variability_v2__69-271/*.parquet
default: true
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data_files: data/mfs_variability_v2__7-209/*.parquet
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data_files: data/mfs_variability_v2__6-208/*.parquet
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data_files: data/mfs_variability_v2__5-207/*.parquet
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data_files: data/mfs_variability_v2__4-206/*.parquet
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data_files: data/mfs_variability_v2__3-205/*.parquet
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data_files: data/mfs_variability_v2__2-204/*.parquet
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data_files: data/mfs_variability_v2__1-203/*.parquet
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data_files: data/mfs_variability_v2__0-202/*.parquet
tags:
- evalap
- evaluation
- llm
mfs_variability_v2 (ID: 10)
Comparing some models variability.
Overview
This dataset contains 70 experiments from the EvalAP evaluation platform.
Datasets: MFS_questions_v01
Models evaluated: AgentPublic/llama3-instruct-guillaumetell, google/gemma-2-9b-it, meta-llama/Llama-3.1-8B-Instruct, meta-llama/Llama-3.2-3B-Instruct, meta-llama/Llama-3.3-70B-Instruct, neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8
Metrics: answer_relevancy, generation_time, judge_exactness, judge_notator, output_length
Scores
MFS_questions_v01
| model | answer_relevancy | generation_time | judge_exactness | judge_notator | output_length |
|---|---|---|---|---|---|
| AgentPublic/llama3-instruct-guillaumetell | 0.78 ± 0.26 | 5.50 ± 3.29 | 0.13 ± 0.33 | 5.28 ± 2.64 | 133.25 ± 69.29 |
| meta-llama/Llama-3.1-8B-Instruct | 0.80 ± 0.23 | 7.51 ± 21.60 | 0.05 ± 0.22 | 4.27 ± 2.57 | 212.47 ± 124.94 |
| meta-llama/Llama-3.3-70B-Instruct | 0.85 ± 0.19 | 12.27 ± 4.26 | 0.04 ± 0.19 | 4.34 ± 2.39 | 339.05 ± 110.87 |
| neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8 | 0.89 ± 0.16 | 16.82 ± 14.30 | 0.07 ± 0.25 | 4.77 ± 2.43 | 266.96 ± 110.46 |
| meta-llama/Llama-3.2-3B-Instruct | 0.74 ± 0.25 | 2.48 ± 0.99 | 0.00 ± 0.00 | 2.88 ± 1.71 | 320.40 ± 121.72 |
| google/gemma-2-9b-it | 0.77 ± 0.22 | 31.30 ± 74.68 | 0.05 ± 0.21 | 4.37 ± 2.18 | 229.90 ± 91.77 |
Usage
Use the dropdown above to select an experiment configuration.