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tangled-llama-33m-32k-base-v0.1

Text Generation
Transformers
Safetensors
litgpt
litdata
conversational
Inference Endpoints
Model card Files Community
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1
- ---
2
- license: apache-2.0
3
- pipeline_tag: text-generation
4
- library_name: transformers
5
- language: ['en', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'eo', 'es', 'et', 'eu', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gn', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lg', 'li', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'qu', 'rm', 'ro', 'ru', 'sa', 'si', 'sc', 'sd', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tn', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zu']
6
- datasets: [
7
- 'bigcode/programming-languages-keywords',
8
- 'bigcode/the-stack-smol-xs',
9
- 'nampdn-ai/tiny-textbooks',
10
- 'xu-song/cc100-samples',
11
- 'm-a-p/CodeFeedback-Filtered-Instruction',
12
- 'nampdn-ai/tiny-codes',
13
- 'ajibawa-2023/Maths-College',
14
- 'microsoft/orca-math-word-problems-200k',
15
- 'mlabonne/FineTome-100k',
16
- 'arcee-ai/agent-data',
17
- 'cognitivecomputations/SystemChat-2.0',
18
- 'badrex/llm-emoji-dataset',
19
- ]
20
- tags:
21
- - litgpt
22
- - litdata
23
- ---
24
-
25
- # tangled-llama-33m-32k-base-v0.1
26
-
27
- <!--
28
- <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
29
-
30
- <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
31
-
32
- <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
33
-
34
- <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
35
- -->
36
-
37
- ## lm-evaluation-harness
38
-
39
- | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
40
- |---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
41
- |arc_challenge | 1|none | 0|acc |↑ |0.2065|± |0.0118|
42
- | | |none | 0|acc_norm |↑ |0.2338|± |0.0124|
43
- |gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0144|± |0.0033|
44
- | | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
45
- |hellaswag | 1|none | 0|acc |↑ |0.2614|± |0.0044|
46
- | | |none | 0|acc_norm |↑ |0.2604|± |0.0044|
47
- |mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
48
- | - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
49
- | - formal_logic | 1|none | 0|acc |↑ |0.2698|± |0.0397|
50
- | - high_school_european_history | 1|none | 0|acc |↑ |0.2000|± |0.0312|
51
- | - high_school_us_history | 1|none | 0|acc |↑ |0.2500|± |0.0304|
52
- | - high_school_world_history | 1|none | 0|acc |↑ |0.2785|± |0.0292|
53
- | - international_law | 1|none | 0|acc |↑ |0.2149|± |0.0375|
54
- | - jurisprudence | 1|none | 0|acc |↑ |0.2407|± |0.0413|
55
- | - logical_fallacies | 1|none | 0|acc |↑ |0.2270|± |0.0329|
56
- | - moral_disputes | 1|none | 0|acc |↑ |0.2341|± |0.0228|
57
- | - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142|
58
- | - philosophy | 1|none | 0|acc |↑ |0.1833|± |0.0220|
59
- | - prehistory | 1|none | 0|acc |↑ |0.2160|± |0.0229|
60
- | - professional_law | 1|none | 0|acc |↑ |0.2399|± |0.0109|
61
- | - world_religions | 1|none | 0|acc |↑ |0.3275|± |0.0360|
62
- | - other | 2|none | |acc |↑ |0.2481|± |0.0077|
63
- | - business_ethics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
64
- | - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258|
65
- | - college_medicine | 1|none | 0|acc |↑ |0.2486|± |0.0330|
66
- | - global_facts | 1|none | 0|acc |↑ |0.1700|± |0.0378|
67
- | - human_aging | 1|none | 0|acc |↑ |0.3229|± |0.0314|
68
- | - management | 1|none | 0|acc |↑ |0.1845|± |0.0384|
69
- | - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301|
70
- | - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
71
- | - miscellaneous | 1|none | 0|acc |↑ |0.2401|± |0.0153|
72
- | - nutrition | 1|none | 0|acc |↑ |0.2418|± |0.0245|
73
- | - professional_accounting | 1|none | 0|acc |↑ |0.2411|± |0.0255|
74
- | - professional_medicine | 1|none | 0|acc |↑ |0.1838|± |0.0235|
75
- | - virology | 1|none | 0|acc |↑ |0.2831|± |0.0351|
76
- | - social sciences | 2|none | |acc |↑ |0.2155|± |0.0074|
77
- | - econometrics | 1|none | 0|acc |↑ |0.2281|± |0.0395|
78
- | - high_school_geography | 1|none | 0|acc |↑ |0.1768|± |0.0272|
79
- | - high_school_government_and_politics| 1|none | 0|acc |↑ |0.1969|± |0.0287|
80
- | - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2103|± |0.0207|
81
- | - high_school_microeconomics | 1|none | 0|acc |↑ |0.2143|± |0.0267|
82
- | - high_school_psychology | 1|none | 0|acc |↑ |0.1872|± |0.0167|
83
- | - human_sexuality | 1|none | 0|acc |↑ |0.2672|± |0.0388|
84
- | - professional_psychology | 1|none | 0|acc |↑ |0.2467|± |0.0174|
85
- | - public_relations | 1|none | 0|acc |↑ |0.2182|± |0.0396|
86
- | - security_studies | 1|none | 0|acc |↑ |0.1755|± |0.0244|
87
- | - sociology | 1|none | 0|acc |↑ |0.2438|± |0.0304|
88
- | - us_foreign_policy | 1|none | 0|acc |↑ |0.2700|± |0.0446|
89
- | - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
90
- | - abstract_algebra | 1|none | 0|acc |↑ |0.1700|± |0.0378|
91
- | - anatomy | 1|none | 0|acc |↑ |0.1778|± |0.0330|
92
- | - astronomy | 1|none | 0|acc |↑ |0.1776|± |0.0311|
93
- | - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365|
94
- | - college_chemistry | 1|none | 0|acc |↑ |0.1900|± |0.0394|
95
- | - college_computer_science | 1|none | 0|acc |↑ |0.2600|± |0.0441|
96
- | - college_mathematics | 1|none | 0|acc |↑ |0.2100|± |0.0409|
97
- | - college_physics | 1|none | 0|acc |↑ |0.2059|± |0.0402|
98
- | - computer_security | 1|none | 0|acc |↑ |0.2400|± |0.0429|
99
- | - conceptual_physics | 1|none | 0|acc |↑ |0.2681|± |0.0290|
100
- | - electrical_engineering | 1|none | 0|acc |↑ |0.2345|± |0.0353|
101
- | - elementary_mathematics | 1|none | 0|acc |↑ |0.2011|± |0.0206|
102
- | - high_school_biology | 1|none | 0|acc |↑ |0.1806|± |0.0219|
103
- | - high_school_chemistry | 1|none | 0|acc |↑ |0.1478|± |0.0250|
104
- | - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429|
105
- | - high_school_mathematics | 1|none | 0|acc |↑ |0.2111|± |0.0249|
106
- | - high_school_physics | 1|none | 0|acc |↑ |0.1788|± |0.0313|
107
- | - high_school_statistics | 1|none | 0|acc |↑ |0.1620|± |0.0251|
108
- | - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425|
109
- |truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4975|± |0.0165|
110
- |winogrande | 1|none | 0|acc |↑ |0.5146|± |0.0140|
111
-
112
- | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
113
- |------------------|------:|------|------|------|---|-----:|---|-----:|
114
- |mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
115
- | - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
116
- | - other | 2|none | |acc |↑ |0.2481|± |0.0077|
117
- | - social sciences| 2|none | |acc |↑ |0.2155|± |0.0074|
118
  | - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
 
1
+ ---
2
+ license: apache-2.0
3
+ pipeline_tag: text-generation
4
+ library_name: transformers
5
+ language: ['en', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'eo', 'es', 'et', 'eu', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gn', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lg', 'li', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'qu', 'rm', 'ro', 'ru', 'sa', 'si', 'sc', 'sd', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tn', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zu']
6
+ datasets: [
7
+ 'bigcode/programming-languages-keywords',
8
+ 'bigcode/the-stack-smol-xs',
9
+ 'nampdn-ai/tiny-textbooks',
10
+ 'xu-song/cc100-samples',
11
+ 'm-a-p/CodeFeedback-Filtered-Instruction',
12
+ 'nampdn-ai/tiny-codes',
13
+ 'ajibawa-2023/Maths-College',
14
+ 'microsoft/orca-math-word-problems-200k',
15
+ 'mlabonne/FineTome-100k',
16
+ 'arcee-ai/agent-data',
17
+ 'cognitivecomputations/SystemChat-2.0',
18
+ 'badrex/llm-emoji-dataset',
19
+ ]
20
+ tags:
21
+ - litgpt
22
+ - litdata
23
+ ---
24
+
25
+ # tangled-llama-33m-32k-base-v0.1
26
+
27
+ <!--
28
+ <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
29
+
30
+ <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
31
+
32
+ <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
33
+
34
+ <iframe src="https://wandb.ai/mtasic85/pretrain-/runs/lr5thq6l?nw=nwusermtasic85" style="border:none;height:1024px;width:100%">
35
+ -->
36
+
37
+ ## lm-evaluation-harness
38
+
39
+ | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
40
+ |---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
41
+ |arc_challenge | 1|none | 0|acc |↑ |0.2065|± |0.0118|
42
+ | | |none | 0|acc_norm |↑ |0.2338|± |0.0124|
43
+ |gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0144|± |0.0033|
44
+ | | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
45
+ |hellaswag | 1|none | 0|acc |↑ |0.2614|± |0.0044|
46
+ | | |none | 0|acc_norm |↑ |0.2604|± |0.0044|
47
+ |mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
48
+ | - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
49
+ | - formal_logic | 1|none | 0|acc |↑ |0.2698|± |0.0397|
50
+ | - high_school_european_history | 1|none | 0|acc |↑ |0.2000|± |0.0312|
51
+ | - high_school_us_history | 1|none | 0|acc |↑ |0.2500|± |0.0304|
52
+ | - high_school_world_history | 1|none | 0|acc |↑ |0.2785|± |0.0292|
53
+ | - international_law | 1|none | 0|acc |↑ |0.2149|± |0.0375|
54
+ | - jurisprudence | 1|none | 0|acc |↑ |0.2407|± |0.0413|
55
+ | - logical_fallacies | 1|none | 0|acc |↑ |0.2270|± |0.0329|
56
+ | - moral_disputes | 1|none | 0|acc |↑ |0.2341|± |0.0228|
57
+ | - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142|
58
+ | - philosophy | 1|none | 0|acc |↑ |0.1833|± |0.0220|
59
+ | - prehistory | 1|none | 0|acc |↑ |0.2160|± |0.0229|
60
+ | - professional_law | 1|none | 0|acc |↑ |0.2399|± |0.0109|
61
+ | - world_religions | 1|none | 0|acc |↑ |0.3275|± |0.0360|
62
+ | - other | 2|none | |acc |↑ |0.2481|± |0.0077|
63
+ | - business_ethics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
64
+ | - clinical_knowledge | 1|none | 0|acc |↑ |0.2264|± |0.0258|
65
+ | - college_medicine | 1|none | 0|acc |↑ |0.2486|± |0.0330|
66
+ | - global_facts | 1|none | 0|acc |↑ |0.1700|± |0.0378|
67
+ | - human_aging | 1|none | 0|acc |↑ |0.3229|± |0.0314|
68
+ | - management | 1|none | 0|acc |↑ |0.1845|± |0.0384|
69
+ | - marketing | 1|none | 0|acc |↑ |0.3034|± |0.0301|
70
+ | - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
71
+ | - miscellaneous | 1|none | 0|acc |↑ |0.2401|± |0.0153|
72
+ | - nutrition | 1|none | 0|acc |↑ |0.2418|± |0.0245|
73
+ | - professional_accounting | 1|none | 0|acc |↑ |0.2411|± |0.0255|
74
+ | - professional_medicine | 1|none | 0|acc |↑ |0.1838|± |0.0235|
75
+ | - virology | 1|none | 0|acc |↑ |0.2831|± |0.0351|
76
+ | - social sciences | 2|none | |acc |↑ |0.2155|± |0.0074|
77
+ | - econometrics | 1|none | 0|acc |↑ |0.2281|± |0.0395|
78
+ | - high_school_geography | 1|none | 0|acc |↑ |0.1768|± |0.0272|
79
+ | - high_school_government_and_politics| 1|none | 0|acc |↑ |0.1969|± |0.0287|
80
+ | - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2103|± |0.0207|
81
+ | - high_school_microeconomics | 1|none | 0|acc |↑ |0.2143|± |0.0267|
82
+ | - high_school_psychology | 1|none | 0|acc |↑ |0.1872|± |0.0167|
83
+ | - human_sexuality | 1|none | 0|acc |↑ |0.2672|± |0.0388|
84
+ | - professional_psychology | 1|none | 0|acc |↑ |0.2467|± |0.0174|
85
+ | - public_relations | 1|none | 0|acc |↑ |0.2182|± |0.0396|
86
+ | - security_studies | 1|none | 0|acc |↑ |0.1755|± |0.0244|
87
+ | - sociology | 1|none | 0|acc |↑ |0.2438|± |0.0304|
88
+ | - us_foreign_policy | 1|none | 0|acc |↑ |0.2700|± |0.0446|
89
+ | - stem | 2|none | |acc |↑ |0.2058|± |0.0072|
90
+ | - abstract_algebra | 1|none | 0|acc |↑ |0.1700|± |0.0378|
91
+ | - anatomy | 1|none | 0|acc |↑ |0.1778|± |0.0330|
92
+ | - astronomy | 1|none | 0|acc |↑ |0.1776|± |0.0311|
93
+ | - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365|
94
+ | - college_chemistry | 1|none | 0|acc |↑ |0.1900|± |0.0394|
95
+ | - college_computer_science | 1|none | 0|acc |↑ |0.2600|± |0.0441|
96
+ | - college_mathematics | 1|none | 0|acc |↑ |0.2100|± |0.0409|
97
+ | - college_physics | 1|none | 0|acc |↑ |0.2059|± |0.0402|
98
+ | - computer_security | 1|none | 0|acc |↑ |0.2400|± |0.0429|
99
+ | - conceptual_physics | 1|none | 0|acc |↑ |0.2681|± |0.0290|
100
+ | - electrical_engineering | 1|none | 0|acc |↑ |0.2345|± |0.0353|
101
+ | - elementary_mathematics | 1|none | 0|acc |↑ |0.2011|± |0.0206|
102
+ | - high_school_biology | 1|none | 0|acc |↑ |0.1806|± |0.0219|
103
+ | - high_school_chemistry | 1|none | 0|acc |↑ |0.1478|± |0.0250|
104
+ | - high_school_computer_science | 1|none | 0|acc |↑ |0.2400|± |0.0429|
105
+ | - high_school_mathematics | 1|none | 0|acc |↑ |0.2111|± |0.0249|
106
+ | - high_school_physics | 1|none | 0|acc |↑ |0.1788|± |0.0313|
107
+ | - high_school_statistics | 1|none | 0|acc |↑ |0.1620|± |0.0251|
108
+ | - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425|
109
+ |truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4975|± |0.0165|
110
+ |winogrande | 1|none | 0|acc |↑ |0.5146|± |0.0140|
111
+
112
+ | Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
113
+ |------------------|------:|------|------|------|---|-----:|---|-----:|
114
+ |mmlu | 2|none | |acc |↑ |0.2280|± |0.0035|
115
+ | - humanities | 2|none | |acc |↑ |0.2376|± |0.0062|
116
+ | - other | 2|none | |acc |↑ |0.2481|± |0.0077|
117
+ | - social sciences| 2|none | |acc |↑ |0.2155|± |0.0074|
118
  | - stem | 2|none | |acc |↑ |0.2058|± |0.0072|