This repo contains GGUF format model files for Microsoft’s Phi 3 Mini 4K Instruct.
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
GGUF is a file format for representing AI models. It is the third version of the format,
introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Converted with llama.cpp build 3432 (revision
45f2c19
),
using
autogguf
.
Comparison of July update vs original April release:
Benchmarks
Original
June 2024 Update
Instruction Extra Hard
5.7
6.0
Instruction Hard
4.9
5.1
Instructions Challenge
24.6
42.3
JSON Structure Output
11.5
52.3
XML Structure Output
14.4
49.8
GPQA
23.7
30.6
MMLU
68.8
70.9
Average
21.9
36.7
Original April release
As is now standard, we use few-shot prompts to evaluate the models, at temperature 0.
The prompts and number of shots are part of a Microsoft internal tool to evaluate language models, and in particular we did no optimization to the pipeline for Phi-3.
More specifically, we do not change prompts, pick different few-shot examples, change prompt format, or do any other form of optimization for the model.
The number of k–shot examples is listed per-benchmark.
Phi-3-Mini-4K-In
3.8b
Phi-2
2.7b
Mistral
7b
Gemma
7b
Llama-3-In
8b
Mixtral
8x7b
GPT-3.5
version 1106
MMLU
5-Shot
68.8
56.3
61.7
63.6
66.5
68.4
71.4
HellaSwag
5-Shot
76.7
53.6
58.5
49.8
71.1
70.4
78.8
ANLI
7-Shot
52.8
42.5
47.1
48.7
57.3
55.2
58.1
GSM-8K
0-Shot; CoT
82.5
61.1
46.4
59.8
77.4
64.7
78.1
MedQA
2-Shot
53.8
40.9
49.6
50.0
60.5
62.2
63.4
AGIEval
0-Shot
37.5
29.8
35.1
42.1
42.0
45.2
48.4
TriviaQA
5-Shot
64.0
45.2
72.3
75.2
67.7
82.2
85.8
Arc-C
10-Shot
84.9
75.9
78.6
78.3
82.8
87.3
87.4
Arc-E
10-Shot
94.6
88.5
90.6
91.4
93.4
95.6
96.3
PIQA
5-Shot
84.2
60.2
77.7
78.1
75.7
86.0
86.6
SociQA
5-Shot
76.6
68.3
74.6
65.5
73.9
75.9
68.3
BigBench-Hard
0-Shot
71.7
59.4
57.3
59.6
51.5
69.7
68.32
WinoGrande
5-Shot
70.8
54.7
54.2
55.6
65
62.0
68.8
OpenBookQA
10-Shot
83.2
73.6
79.8
78.6
82.6
85.8
86.0
BoolQ
0-Shot
77.6
--
72.2
66.0
80.9
77.6
79.1
CommonSenseQA
10-Shot
80.2
69.3
72.6
76.2
79
78.1
79.6
TruthfulQA
10-Shot
65.0
--
52.1
53.0
63.2
60.1
85.8
HumanEval
0-Shot
59.1
47.0
28.0
34.1
60.4
37.8
62.2
MBPP
3-Shot
53.8
60.6
50.8
51.5
67.7
60.2
77.8
Runs of brittlewis12 Phi-3-mini-4k-instruct-GGUF on huggingface.co
624
Total runs
-7
24-hour runs
-31
3-day runs
-70
7-day runs
-130
30-day runs
More Information About Phi-3-mini-4k-instruct-GGUF huggingface.co Model
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