Max Tokens
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Max Tokens has 67 facts recorded in Dontopedia across 29 references, with 8 live disagreements.
Mostly:rdf:type(21), rdfs:label(7), purpose(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Attribute[24]all time · 569b322c A60c 41e9 Bdbf 4a38fed922cb
- Attribute[11]all time · 3a983ca2 D5ee 4958 8819 C4e8af627b81
- Attribute[8]all time · 1ec9efa8 81e4 43a7 95a4 6621a275f1dd
- Attribute[15]all time · B59f046e 5467 4685 A93b Feb45be0e770
- Configuration Parameter[25]all time · 0ef50f99 Cf90 46f9 A0ba 5ef05cf02ebb
- Instance Variable[2]all time · 91b28491 C3c1 4f44 B5ce 145536b7cd62
- Instance Variable[6]all time · 61e75293 650d 4e15 9cfd C75aab399e4e
- Instance Variable[9]all time · 540b8263 D7d1 4434 B08d D6720b3c5492
- Integer[7]all time · 641b12ba 5017 4076 9ffd Af3beb36a950
- Limit[26]all time · 9609541d Bd4d 46d3 Bd0e 8c3f8f8ddeb9
Rdfs:labelin disputerdfs:label
- max_tokens[4]all time · 176dfc9a 9a70 4fc9 8bc5 7f3ea9c947de
- max_tokens[17]all time · 6710e08f 3159 4e88 8138 058ed6f8592a
- max tokens[22]all time · A10182c8 E54b 4783 A4b1 C5d233c5025c
- max_tokens[2]all time · 91b28491 C3c1 4f44 B5ce 145536b7cd62
- max_tokens[19]all time · 9c992e06 887e 4015 9ae6 A9fc76073cda
- max_tokens[8]all time · 1ec9efa8 81e4 43a7 95a4 6621a275f1dd
- maximum token count[23]all time · 4a50c854 B09b 4bcb B327 B69ec1282815
Purposein disputepurpose
Constrainsin disputeconstrains
- Tokens Deque[5]sourceall time · 42f279b2 A34b 446e 9204 29e263d7a929
- segment size[6]all time · 61e75293 650d 4e15 9cfd C75aab399e4e
Has Valuein disputehasValue
Descriptionin disputedescription
Limitsin disputelimits
- Input Sequence Length[19]sourceall time · 9c992e06 887e 4015 9ae6 A9fc76073cda
- Input Sequence Length[16]all time · F3b6f60a 3447 4f24 8572 67a5374280d1
Used inin disputeusedIn
Number of CharactersnumberOfCharacters
- 10[20]sourceall time · 6
Default Parameter ValuedefaultParameterValue
- 2000[10]sourceall time · E1b0d9f6 0084 4481 9dd3 E53740c7af29
Passed to TokenizerpassedToTokenizer
- max_length_argument[13]sourceall time · E30c9b5a 0f4a 42ec A48a 5900c9820bef
External ParameterexternalParameter
- passedToInit[13]all time · E30c9b5a 0f4a 42ec A48a 5900c9820bef
Inbound mentions (59)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
hasParameterHas Parameter(13)
- Context Window Manager
ex:context-window-manager - Context Window Manager
ex:ContextWindowManager - Context Window Segmentation
ex:ContextWindowSegmentation - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Init
ex:__init__ - Segment Input
ex:segment_input - Segment Input
ex:segment_input
hasAttributeHas Attribute(8)
- Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Context Window Manager
ex:ContextWindowManager - Tokenizer Class
ex:tokenizer-class
calculatedFromCalculated From(3)
- End Index
ex:end_index - Max Tokens Minus Overlap
ex:max_tokens_minus_overlap - Start Index Plus Max Tokens
ex:start_index_plus_max_tokens
initializesInitializes(3)
- Init
ex:__init__ - Init
ex:__init__ - Tokenizer Class
ex:tokenizer-class
hasInstanceVariableHas Instance Variable(2)
- Context Window Manager
ex:ContextWindowManager - Context Window Segmentation Class
ex:context-window-segmentation-class
usesParameterUses Parameter(2)
- Handle Token Overflow
ex:handle_token_overflow - Segment Input
ex:segment_input
addsAdds(1)
- Start Index Increment
ex:start_index_increment
assignedFromParameterAssigned From Parameter(1)
- Max Tokens
ex:max_tokens
assignedToAssigned to(1)
- 512
ex:512
assignsAssigns(1)
- Init
ex:__init__
assignsValueAssigns Value(1)
- Attribute Assignment
ex:AttributeAssignment
attachedToAttached to(1)
- Example Values Comment
ex:example_values_comment
canExceedCan Exceed(1)
- Input Sequence
ex:input_sequence
causedByCaused by(1)
- Chunking
ex:chunking
checksAgainstChecks Against(1)
- Handle Token Overflow
ex:handle_token_overflow
chunkSizeChunk Size(1)
- Segmentation
ex:segmentation
coInitializedWithCo Initialized With(1)
- Cache Size
ex:cache_size
comparesEntitiesCompares Entities(1)
- Comparison Operation
ex:ComparisonOperation
constructorParameterConstructor Parameter(1)
- Context Window Manager
ex:ContextWindowManager
declaresVariableDeclares Variable(1)
- Main
ex:__main__
enforcedByEnforced by(1)
- Token Limit Enforcement
ex:token_limit_enforcement
hasMaxLengthHas Max Length(1)
- Tokens
ex:tokens
hasMaxTokensHas Max Tokens(1)
- Token Overflow Handler
ex:token-overflow-handler
initializesAttributeInitializes Attribute(1)
- Init
ex:__init__
initializesParameterInitializes Parameter(1)
- Context Window Manager
ex:ContextWindowManager
instantiatedWithInstantiated With(1)
- Context Window Manager
ex:context_window_manager
isConstrainedByIs Constrained by(1)
- Tokens Deque
ex:tokens-deque
logsEntityLogs Entity(1)
- Length Logging
ex:LengthLogging
parameterized-byParameterized by(1)
- Text Chunking
ex:text-chunking
providesValueForProvides Value for(1)
- Example Usage
ex:example_usage
storesInstanceVariableStores Instance Variable(1)
- Context Window Segmentation
ex:ContextWindowSegmentation
usesUses(1)
- Context Window Manager
ex:ContextWindowManager
Other facts (22)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Dual Role | tokenizerLimitAndChunkSize | [13] |
| Determines | chunkSize | [12] |
| Serves As | Chunk Boundary | [9] |
| Controls | Chunk Size | [9] |
| Affects | segment length | [1] |
| Value Description | Example max token limit | [17] |
| Co Initialized With | Cache Size | [4] |
| Is Parameter | Context Window Manager | [4] |
| Default Example Value | 512 | [3] |
| Assigned Value | 512 | [3] |
| Is Parameter of | Context Window Manager | [16] |
| Has Description | Example max token limit | [16] |
| Is Constraint for | Context Window Manager | [18] |
| Constraint on | segment_size | [7] |
| Has Type | int | [14] |
| Ex:example Value | 1024 | [14] |
| Has Default Value | 1024 | [15] |
| Is Attribute of | Context Window Manager | [15] |
| Parameter Kind | positional | [2] |
| Assigned From Parameter | Max Tokens | [2] |
| Used by | Context Window Manager | [11] |
| Constraint Type | upper bound | [8] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (29)
- custom
ctx:claims/beam/4c3c1804-41a0-4fb6-9c44-505a471e612e- full textbeam-chunktext/plain1 KB
doc:beam/4c3c1804-41a0-4fb6-9c44-505a471e612eShow excerpt
segments = [] start_index = 0 while start_index < len(input_sequence): end_index = min(start_index + max_tokens, len(input_sequence)) segment = input_sequence[start_index:end_index] segments.append(segmen…
- custom
ctx:claims/beam/91b28491-c3c1-4f44-b5ce-145536b7cd62 - custom
ctx:claims/beam/4d5fa0f9-6d40-4521-95de-a6dc54526c6f - custom
ctx:claims/beam/176dfc9a-9a70-4fc9-8bc5-7f3ea9c947de- full textbeam-chunktext/plain1 KB
doc:beam/176dfc9a-9a70-4fc9-8bc5-7f3ea9c947deShow excerpt
1. **Initialization**: - Initialize `max_tokens`, `cache_size`, and a cache using `OrderedDict` to maintain LRU (Least Recently Used) behavior. - Set up logging to track important events. 2. **Segmentation**: - The `segment_input`…
- custom
ctx:claims/beam/42f279b2-a34b-446e-9204-29e263d7a929- full textbeam-chunktext/plain1 KB
doc:beam/42f279b2-a34b-446e-9204-29e263d7a929Show excerpt
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score def evaluate(y_true, y_pred): acc = accuracy_score(y_true, y_pred) prec = precision_score(y_true, y_pred, average='weighted') …
- custom
ctx:claims/beam/61e75293-650d-4e15-9cfd-c75aab399e4e - custom
ctx:claims/beam/641b12ba-5017-4076-9ffd-af3beb36a950- full textbeam-chunktext/plain1 KB
doc:beam/641b12ba-5017-4076-9ffd-af3beb36a950Show excerpt
- Slicing lists in Python can be costly, especially for large lists. We can minimize the number of slices by directly appending the appropriate segments. 2. **Use Efficient Data Structures**: - Ensure that the data structures used ar…
- custom
ctx:claims/beam/1ec9efa8-81e4-43a7-95a4-6621a275f1dd- full textbeam-chunktext/plain1 KB
doc:beam/1ec9efa8-81e4-43a7-95a4-6621a275f1ddShow excerpt
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) self.logger.addHandler(handler) def handle_token_overflow(self, input_sequence): """ …
- custom
ctx:claims/beam/540b8263-d7d1-4434-b08d-d6720b3c5492- full textbeam-chunktext/plain1 KB
doc:beam/540b8263-d7d1-4434-b08d-d6720b3c5492Show excerpt
[Turn 7898] User: I've been studying context window strategies, and I noticed a 20% relevance boost with segmented inputs for 5,000 test queries, but I'm not sure how to apply this to my current implementation, can you review my code and su…
- custom
ctx:claims/beam/e1b0d9f6-0084-4481-9dd3-e53740c7af29- full textbeam-chunktext/plain1 KB
doc:beam/e1b0d9f6-0084-4481-9dd3-e53740c7af29Show excerpt
4. **Segmentation**: - Implement segmentation to handle large inputs by breaking them into smaller chunks. - Use overlap between segments to maintain context continuity. 5. **Caching**: - Use caching to store and reuse results of …
- custom
ctx:claims/beam/3a983ca2-d5ee-4958-8819-c4e8af627b81- full textbeam-chunktext/plain1 KB
doc:beam/3a983ca2-d5ee-4958-8819-c4e8af627b81Show excerpt
return segments # Example usage if __name__ == "__main__": max_tokens = 100 # Example max token limit context_window_manager = ContextWindowManager(max_tokens) # Sample input sequence (for demonstration purposes, …
- custom
ctx:claims/beam/84556ae2-d396-48eb-81c6-704c82a08825 - custom
ctx:claims/beam/e30c9b5a-0f4a-42ec-a48a-5900c9820bef- full textbeam-chunktext/plain1 KB
doc:beam/e30c9b5a-0f4a-42ec-a48a-5900c9820befShow excerpt
self.tokenizer = AutoTokenizer.from_pretrained(model_name) self.max_tokens = max_tokens self.cache = OrderedDict() # Using OrderedDict to maintain LRU behavior self.logger = logging.getLogger(__name__) …
- custom
ctx:claims/beam/1487d758-ec28-4087-9be5-a101682029b2 - custom
ctx:claims/beam/b59f046e-5467-4685-a93b-feb45be0e770 - custom
ctx:claims/beam/f3b6f60a-3447-4f24-8572-67a5374280d1- full textbeam-chunktext/plain1 KB
doc:beam/f3b6f60a-3447-4f24-8572-67a5374280d1Show excerpt
self.logger.debug(f"Input sequence length: {len(input_sequence)}, max tokens: {self.max_tokens}") if len(input_sequence) > self.max_tokens: self.logger.error("Token overflow detected") segmented_input…
ctx:claims/beam/6710e08f-3159-4e88-8138-058ed6f8592actx:claims/beam/e47370e1-edd9-44cb-b409-c7baa572211dctx:claims/beam/9c992e06-887e-4015-9ae6-a9fc76073cdactx:discord/blah/agents/6ctx:claims/beam/103b7d66-0965-412d-bdf5-32cefb625310ctx:claims/beam/a10182c8-e54b-4783-a4b1-c5d233c5025cctx:claims/beam/4a50c854-b09b-4bcb-b327-b69ec1282815ctx:claims/beam/569b322c-a60c-41e9-bdbf-4a38fed922cbctx:claims/beam/0ef50f99-cf90-46f9-a0ba-5ef05cf02ebbctx:claims/beam/9609541d-bd4d-46d3-bd0e-8c3f8f8ddeb9ctx:claims/beam/c092a3b6-1f71-4b1a-a58c-93525cb87eeectx:claims/beam/c83be0ca-6eec-4d08-a8f8-1c9daca64cbfctx:claims/beam/8c2cc9a0-226a-4ba9-a066-3a16ff51fda5
See also
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