jamesdumay commited on
Commit
2c51751
·
verified ·
1 Parent(s): 006aa27

Add dataset card for MoE rankings

Browse files
Files changed (1) hide show
  1. README.md +119 -0
README.md ADDED
@@ -0,0 +1,119 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: MoE Rankings
3
+ license: apache-2.0
4
+ task_categories:
5
+ - text-generation
6
+ language:
7
+ - en
8
+ tags:
9
+ - moe
10
+ - gguf
11
+ - routing
12
+ - metadata
13
+ - mesh-llm
14
+ ---
15
+
16
+ # MoE Rankings
17
+
18
+ `meshllm/moe-rankings` is a public dataset of derived Mixture-of-Experts routing metadata for published model artifacts.
19
+
20
+ The dataset stores ranking artifacts produced by `llama-moe-analyze` so tools such as `mesh-llm` can discover expert-hotness rankings for exact model revisions without recomputing them locally.
21
+
22
+ ## Purpose
23
+
24
+ This dataset exists to provide:
25
+
26
+ - immutable MoE expert rankings keyed by exact source model revision
27
+ - a canonical archive of published ranking artifacts
28
+ - reusable metadata for routing, sharding, and MoE placement experiments
29
+
30
+ The dataset is not a model mirror and does not store original model weights.
31
+
32
+ ## Identity Model
33
+
34
+ Each artifact is identified by:
35
+
36
+ - `source_repo`
37
+ - `source_revision`
38
+ - `format`
39
+ - `distribution_id`
40
+ - `analyzer_id`
41
+
42
+ For GGUF models, `distribution_id` is the normalized model distribution name, usually the GGUF filename stem with any shard suffix removed.
43
+
44
+ ## Layout
45
+
46
+ Artifacts are stored under:
47
+
48
+ ```text
49
+ data/<source_namespace>/<source_repo_name>/<source_revision>/<format>/<distribution_id>/<analyzer_id>/
50
+ ```
51
+
52
+ Each artifact directory contains:
53
+
54
+ - `metadata.json`
55
+ - `ranking.csv`
56
+ - `run.log`
57
+
58
+ Example:
59
+
60
+ ```text
61
+ data/Flexan/kshitijthakkar-qwen3.5-moe-0.87B-d0.8B-GGUF/a9b8adbec2cc87479c772dac1944f313b4036c26/gguf/qwen3.5-moe-0.87B-d0.8B.Q2_K/micro-v1/
62
+ ```
63
+
64
+ ## Artifact Semantics
65
+
66
+ ### `ranking.csv`
67
+
68
+ Normalized expert ranking output with columns:
69
+
70
+ ```text
71
+ expert_id,total_mass,mass_fraction,selection_count
72
+ ```
73
+
74
+ Sorted by hottest experts first.
75
+
76
+ ### `metadata.json`
77
+
78
+ Validation and provenance metadata, including:
79
+
80
+ - exact source repo and commit
81
+ - analyzed distribution id
82
+ - file list and hashes
83
+ - analyzer id
84
+ - prompt set id
85
+ - token count
86
+ - local analyzer source details
87
+
88
+ ### `run.log`
89
+
90
+ Raw execution log for debugging and auditing.
91
+
92
+ ## Analyzer Policy
93
+
94
+ Current canonical analyzer:
95
+
96
+ - `micro-v1`
97
+
98
+ `micro-v1` is tied to a fixed built-in prompt set and should be comparable across runs. Any meaningful change to prompts or semantics should produce a new analyzer id such as `micro-v2`.
99
+
100
+ ## Immutability
101
+
102
+ Artifacts in this dataset are intended to be immutable.
103
+
104
+ - A new source model commit uses a new `source_revision` path.
105
+ - A new analysis method or incompatible prompt set uses a new `analyzer_id`.
106
+ - Existing published artifacts should not be overwritten with different content.
107
+
108
+ ## Intended Consumers
109
+
110
+ - `mesh-llm`
111
+ - MoE sharding and routing tools
112
+ - benchmarking and evaluation pipelines
113
+ - researchers comparing expert distributions across quantizations and revisions
114
+
115
+ ## Notes
116
+
117
+ - This dataset stores derived metadata, not original model weights.
118
+ - Some logs may be verbose because they preserve upstream tool output for reproducibility.
119
+ - Model-repo colocated sidecars may exist separately, but this dataset is the canonical system of record.