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pretty_name: mfs_tooling_v8
configs:
- config_name: mfs_tooling_v8__23-1004
data_files: data/mfs_tooling_v8__23-1004/*.parquet
default: true
- config_name: mfs_tooling_v8__22-1003
data_files: data/mfs_tooling_v8__22-1003/*.parquet
- config_name: mfs_tooling_v8__21-1002
data_files: data/mfs_tooling_v8__21-1002/*.parquet
- config_name: mfs_tooling_v8__20-1001
data_files: data/mfs_tooling_v8__20-1001/*.parquet
- config_name: mfs_tooling_v8__19-1000
data_files: data/mfs_tooling_v8__19-1000/*.parquet
- config_name: mfs_tooling_v8__18-999
data_files: data/mfs_tooling_v8__18-999/*.parquet
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data_files: data/mfs_tooling_v8__17-998/*.parquet
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data_files: data/mfs_tooling_v8__16-997/*.parquet
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data_files: data/mfs_tooling_v8__15-996/*.parquet
- config_name: mfs_tooling_v8__14-995
data_files: data/mfs_tooling_v8__14-995/*.parquet
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data_files: data/mfs_tooling_v8__13-994/*.parquet
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data_files: data/mfs_tooling_v8__12-993/*.parquet
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data_files: data/mfs_tooling_v8__11-992/*.parquet
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data_files: data/mfs_tooling_v8__10-991/*.parquet
- config_name: mfs_tooling_v8__9-990
data_files: data/mfs_tooling_v8__9-990/*.parquet
- config_name: mfs_tooling_v8__8-989
data_files: data/mfs_tooling_v8__8-989/*.parquet
- config_name: mfs_tooling_v8__7-988
data_files: data/mfs_tooling_v8__7-988/*.parquet
- config_name: mfs_tooling_v8__6-987
data_files: data/mfs_tooling_v8__6-987/*.parquet
- config_name: mfs_tooling_v8__5-986
data_files: data/mfs_tooling_v8__5-986/*.parquet
- config_name: mfs_tooling_v8__4-985
data_files: data/mfs_tooling_v8__4-985/*.parquet
- config_name: mfs_tooling_v8__3-984
data_files: data/mfs_tooling_v8__3-984/*.parquet
- config_name: mfs_tooling_v8__2-983
data_files: data/mfs_tooling_v8__2-983/*.parquet
- config_name: mfs_tooling_v8__1-982
data_files: data/mfs_tooling_v8__1-982/*.parquet
- config_name: mfs_tooling_v8__0-981
data_files: data/mfs_tooling_v8__0-981/*.parquet
tags:
- evalap
- evaluation
- llm
---
# mfs_tooling_v8 (ID: 51)
Evaluating tooling capabilities.
embedding model: bge-multilingual-gemma2
collections: chunks-v13-04-25, limit=10
## Overview
This dataset contains **24 experiments**
from the EvalAP evaluation platform.
**Datasets:** MFS_questions_v01
**Models evaluated:** meta-llama/Llama-3.1-8B-Instruct, mistralai/Mistral-Small-3.1-24B-Instruct-2503
**Metrics:** generation_time, judge_precision, nb_tool_calls, output_length
## Scores
### MFS_questions_v01
| model | generation_time | judge_precision | nb_tool_calls | output_length |
|:----------------------------------------------|:------------------|:------------------|:----------------|:----------------|
| mistralai/Mistral-Small-3.1-24B-Instruct-2503 | 17.80 ± 23.55 | 0.38 ± 0.49 | 0.46 ± 0.50 | 244.76 ± 104.50 |
| meta-llama/Llama-3.1-8B-Instruct | 7.23 ± 11.78 | 0.19 ± 0.40 | 0.91 ± 0.76 | 196.97 ± 117.35 |
## Usage
Use the dropdown above to select an experiment configuration.
|