FP16

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-19.)

FP16 is mixed precision training.

65 facts·46 predicates·11 sources·7 in dispute

Mostly:rdf:type(8), enables(3), affects(3)

Inbound mentions (20)

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.

`hasMember`Has Member(3)

Model Training Parametersex:modelTrainingParameters
Parameter Listex:parameterList
Precision Formatsex:precision-formats

`acrossKemFields`Across Kem Fields(1)

Parameter Sweep Dashboardex:parameter-sweep-dashboard

`casts-to`Casts to(1)

Autocastex:autocast

`castsTo`Casts to(1)

Automatic Fp16 Castingex:automatic-fp16-casting

`controls-precision`Controls Precision(1)

Training Argumentsex:training-arguments

`convertsTo`Converts to(1)

Q8ex:q8

`ex:containsEntity`Ex:contains Entity(1)

Messageex:Message

`ex:format`Ex:format(1)

Fp16 Kvex:fp16KV

`ex:lowerPrecisionThan`Ex:lower Precision Than(1)

Fp8ex:fp8

`ex:proposedFormat`Ex:proposed Format(1)

Kv Cacheex:KVCache

`ex:supportsFormat`Ex:supports Format(1)

Dflashex:dflash

`has-parameter`Has Parameter(1)

Training Argumentsex:training-arguments

`hasParameter`Has Parameter(1)

Training Argsex:training_args

`involvesDataType`Involves Data Type(1)

Fp16 Implementation Issueex:fp16-implementation-issue

`is-enabled-by`Is Enabled by(1)

Mixed Precision Trainingex:mixed-precision-training

`realizesBenefitOf`Realizes Benefit of(1)

Proposed Fp16ex:proposed-fp16

`uses`Uses(1)

Mixed Precision Trainingex:mixed-precision-training

`usesPrecision`Uses Precision(1)

Training Systemex:training-system

Other facts (60)

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.

60 facts

Predicate	Value	Ref
Rdf:type	Hyperparameter	[5]
Rdf:type	Data Format	[8]
Rdf:type	Data Type	[9]
Rdf:type	Data Format	[10]
Rdf:type	Number Format	[11]
Rdf:type	Floating Point Format	[11]
Rdf:type	Data Type	[11]
Rdf:type	Precision	[11]
Enables	Reduced Memory Usage	[4]
Enables	Mixed Precision Training	[5]
Enables	Mixed Precision Training	[6]
Affects	trainingSpeed	[5]
Affects	memoryUsage	[5]
Affects	Training Performance	[5]
Has Value	true	[4]
Has Value	True or False	[5]
Is Type of	Boolean Flag	[5]
Is Type of	Half Precision Floating Point Numbers	[9]
Ex:full Name	half-precision floating point	[11]
Ex:full Name	float16	[11]
Preceded	Bf16	[1]
Essential for	Performance Benefit	[2]
Causes Drift at Scale	Long Context L 8192	[3]
Risks Cumulative Rounding	true	[3]
Purpose	Mixed Precision Training	[4]
Inverse Affects	Computational Precision	[4]
Implies	Mixed Precision	[4]
Has Description	Enables mixed precision training to speed up training and reduce memory usage.	[5]
Is Part of Parameter List	Model Training Parameters	[5]
Ordinal Position	10	[5]
Is Documented in	Parameter Documentation	[5]
Has Type	boolean	[5]
Sequence Number	10	[5]
Has Strategy	Enables mixed precision training to speed up training and reduce memory usage.	[5]
Full Description	Enables mixed precision training to speed up training and reduce memory usage.	[5]
Value Specification	True or False.	[5]
List Position	10	[5]
Is Boolean Flag	true	[5]
Code Name	fp16	[5]
Display Name	Mixed Precision Training	[5]
Part of	Model Training Configuration	[5]
Parameter Value	true	[6]
Description	mixed precision training	[6]
Reduces Memory Usage	true	[6]
Causes Speedup Factor	1.5	[7]
Ex:bit Width	16	[11]
Ex:higher Precision Than	Fp8	[11]
Ex:used in	Kv Cache	[11]
Ex:recommended Alternative	true	[11]
Ex:bits	16	[11]
Ex:would Improve	75 Tps	[11]
Ex:contrasts With	Fp8	[11]
Ex:applies to	Kv Cache	[11]
Ex:category	Quantization	[11]
Ex:memory Cost	Higher	[11]
Ex:accuracy	Higher	[11]
Ex:standardized	true	[11]
Ex:ieee	Ieee754	[11]
Ex:ratio to	Fp8	[11]
Ex:twice the Bits of	Fp8	[11]

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.

65 undated

—

precededblah/general/part-129

ex:bf16

—

essentialForblah/safiersemantics/part-74

ex:performance-benefit

—

causesDriftAtScaleblah/watt-activation/part-78

ex:long-context-l-8192

—

risksCumulativeRoundingblah/watt-activation/part-78

true

—

hasValuebeam/09c69473-903c-475d-98c1-a87aeedbce93

true

—

purposebeam/09c69473-903c-475d-98c1-a87aeedbce93

ex:mixed_precision_training

—

enablesbeam/09c69473-903c-475d-98c1-a87aeedbce93

ex:reduced_memory_usage

—

inverseAffectsbeam/09c69473-903c-475d-98c1-a87aeedbce93

ex:computational_precision

—

impliesbeam/09c69473-903c-475d-98c1-a87aeedbce93

ex:mixed_precision

—

typebeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:Hyperparameter

—

labelbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

Mixed Precision Training

—

hasDescriptionbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

Enables mixed precision training to speed up training and reduce memory usage.

—

hasValuebeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

True or False

—

isPartOfParameterListbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:modelTrainingParameters

—

ordinalPositionbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

—

affectsbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

trainingSpeed

—

affectsbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

memoryUsage

—

enablesbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:mixedPrecisionTraining

—

isDocumentedInbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:parameterDocumentation

—

hasTypebeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

boolean

—

sequenceNumberbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

—

affectsbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:trainingPerformance

—

hasStrategybeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

Enables mixed precision training to speed up training and reduce memory usage.

—

fullDescriptionbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

Enables mixed precision training to speed up training and reduce memory usage.

—

valueSpecificationbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

True or False.

—

listPositionbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

—

isBooleanFlagbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

true

—

codeNamebeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

fp16

—

displayNamebeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

Mixed Precision Training

—

isTypeOfbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:booleanFlag

—

partOfbeam/ce03c714-fade-4f52-a4b9-df7b5a64eee2

ex:modelTrainingConfiguration

—

parameter-valuebeam/9500e1c6-ed0c-41a2-ace0-794604c62109

true

—

descriptionbeam/9500e1c6-ed0c-41a2-ace0-794604c62109

mixed precision training

—

reduces-memory-usagebeam/9500e1c6-ed0c-41a2-ace0-794604c62109

true

—

enablesbeam/9500e1c6-ed0c-41a2-ace0-794604c62109

ex:mixed-precision-training

—

causesSpeedupFactorblah/watt-activation/18

1.5

—

typebeam/2df912fc-b46d-41ca-98bb-edfd119741f7

ex:Data_Format

—

labelbeam/2df912fc-b46d-41ca-98bb-edfd119741f7

FP16

—

typebeam/38adbb9c-25b6-4a5c-a338-8f8ad19f13e7

ex:data-type

—

labelbeam/38adbb9c-25b6-4a5c-a338-8f8ad19f13e7

half-precision floating-point numbers

—

isTypeOfbeam/38adbb9c-25b6-4a5c-a338-8f8ad19f13e7

ex:half-precision-floating-point-numbers

—

typebeam/a9c9c9fc-6777-4587-af29-1f0af774097b

ex:DataFormat

—

labelbeam/a9c9c9fc-6777-4587-af29-1f0af774097b

FP16

—

typeclaims/session/discord:1349727923434815519:1474609483052355796

ex:NumberFormat

—

typeclaims/session/discord:1349727923434815519:1474609483052355796

ex:FloatingPointFormat

—

typeclaims/session/discord:1349727923434815519:1474609483052355796

ex:DataType

—

typeclaims/session/discord:1349727923434815519:1474609483052355796

ex:Precision

—

labelclaims/session/discord:1349727923434815519:1474609483052355796

fp16

—

bitWidthclaims/session/discord:1349727923434815519:1474609483052355796

—

fullNameclaims/session/discord:1349727923434815519:1474609483052355796

half-precision floating point

—

fullNameclaims/session/discord:1349727923434815519:1474609483052355796

float16

—

higherPrecisionThanclaims/session/discord:1349727923434815519:1474609483052355796

ex:fp8

—

usedInclaims/session/discord:1349727923434815519:1474609483052355796

ex:KVCache

—

recommendedAlternativeclaims/session/discord:1349727923434815519:1474609483052355796

true

—

bitsclaims/session/discord:1349727923434815519:1474609483052355796

—

wouldImproveclaims/session/discord:1349727923434815519:1474609483052355796

ex:75Tps

—

contrastsWithclaims/session/discord:1349727923434815519:1474609483052355796

ex:fp8

—

appliesToclaims/session/discord:1349727923434815519:1474609483052355796

ex:KVCache

—

categoryclaims/session/discord:1349727923434815519:1474609483052355796

ex:Quantization

—

memoryCostclaims/session/discord:1349727923434815519:1474609483052355796

ex:Higher

—

accuracyclaims/session/discord:1349727923434815519:1474609483052355796

ex:Higher

—

standardizedclaims/session/discord:1349727923434815519:1474609483052355796

true

—

ieeeclaims/session/discord:1349727923434815519:1474609483052355796

ex:IEEE754

—

ratioToclaims/session/discord:1349727923434815519:1474609483052355796

ex:fp8

—

twiceTheBitsOfclaims/session/discord:1349727923434815519:1474609483052355796

ex:fp8

References (11)

11 references

[1]Part 1291 fact
ctx:discord/blah/general/part-129
[2]Part 741 fact
ctx:discord/blah/safiersemantics/part-74
[3]Part 782 facts
ctx:discord/blah/watt-activation/part-78
[4]09c69473 903c 475d 98c1 A87aeedbce935 facts
ctx:claims/beam/09c69473-903c-475d-98c1-a87aeedbce93
- full textbeam-chunk
  text/plain1 KBdoc:beam/09c69473-903c-475d-98c1-a87aeedbce93
  Show excerpt
  output_dir='./results', num_train_epochs=3, per_device_train_batch_size=8, per_device_eval_batch_size=8, warmup_steps=500, weight_decay=0.01, logging_dir='./logs', logging_steps=10, evaluation_strategy="s…
[5]Ce03c714 Fade 4f52 A4b9 Df7b5a64eee222 facts
ctx:claims/beam/ce03c714-fade-4f52-a4b9-df7b5a64eee2
[6]9500e1c6 Ed0c 41a2 Ace0 794604c621094 facts
ctx:claims/beam/9500e1c6-ed0c-41a2-ace0-794604c62109
- full textbeam-chunk
  text/plain1 KBdoc:beam/9500e1c6-ed0c-41a2-ace0-794604c62109
  Show excerpt
  - **Strategy**: Use `True` if your hardware supports it (e.g., NVIDIA GPUs with Tensor Cores). ### Example Configuration Here's an example configuration for fine-tuning Llama 2 13B: ```python from transformers import LlamaForCausalLM…
[7]181 fact
ctx:discord/blah/watt-activation/18
- full textwatt-activation-18
  text/plain3 KBdoc:agent/watt-activation-18/812b86dc-f424-4d37-b858-94cd90ca9fbf
  Show excerpt
  [2026-03-04 05:47] xenonfun: feat: Complete training system with optimizations - 68x speedup with optimized MLX conv1d - Parallel tokenizer with caching - From-scratch training with best checkpoints - Async checkpoint saving - Learning rate…
[8]2df912fc B46d 41ca 98bb Edfd119741f72 facts
ctx:claims/beam/2df912fc-b46d-41ca-98bb-edfd119741f7
- full textbeam-chunk
  text/plain1 KBdoc:beam/2df912fc-b46d-41ca-98bb-edfd119741f7
  Show excerpt
  [Turn 9560] User: Sure, that looks good! Adding mixed precision training and periodic cache clearing definitely helps with memory management. And profiling the code to find bottlenecks is a great idea too. Let's move forward with this appro…
[9]38adbb9c 25b6 4a5c A338 8f8ad19f13e73 facts
ctx:claims/beam/38adbb9c-25b6-4a5c-a338-8f8ad19f13e7
- full textbeam-chunk
  text/plain1 KBdoc:beam/38adbb9c-25b6-4a5c-a338-8f8ad19f13e7
  Show excerpt
  [Turn 9565] Assistant: To optimize memory usage in your application, particularly when using PyTorch for model training and Keycloak for access control, you can follow several strategies. Here are some suggestions to help you reduce memory …
[10]A9c9c9fc 6777 4587 Af29 1f0af774097b2 facts
ctx:claims/beam/a9c9c9fc-6777-4587-af29-1f0af774097b
- full textbeam-chunk
  text/plain1 KBdoc:beam/a9c9c9fc-6777-4587-af29-1f0af774097b
  Show excerpt
  - Use `torch.cuda.amp` to enable mixed precision training, which can reduce memory usage and improve performance. - Utilize `GradScaler` to handle loss scaling and `autocast` to automatically cast operations to FP16. 2. **Gradient Ac…
[11]Discord:1349727923434815519:147460948305235579622 facts
ctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
  text/plain122 Bdoc:memory/claims/session/discord:1349727923434815519:1474609483052355796/c0f0ebd1-a4f8-4558-830f-7606b022fb34
  Show excerpt
  xenonfun in #hardware: <@823468778704076810> highly recommend you check it out. will post recipe its still tweaking a bit.…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
  text/plain233 Bdoc:memory/claims/session/discord:1349727923434815519:1474609483052355796/6eef4273-53b6-4121-8654-4a110f1e1900
  Show excerpt
  xenonfun in #hardware: Outstanding — 11/11 grounded inside bbox, mean error 4px on the real dense dashboard, and the live clicks landed exactly on 📊 monitor and 🌐 network. Let me visually confirm the clicks actually switched views.…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  xenonfun in #hardware: yeah its impressive…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
  text/plain523 Bdoc:memory/claims/session/discord:1349727923434815519:1474609483052355796/b9a55e67-2d54-4015-b82a-1dcc0d725016
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  xenonfun in #hardware: ``` Concurrency sweep (mixed image+text, 256 tok out) — 46/46 OK ┌──────┬─────────────┬──────┬──────┐ │ Conc │ Gen tput │ p50 │ p95 │ ├──────┼─────────────┼──────┼──────┤ │ 1 │ 75.8 tok/s │ 3.0s │ …
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  xenonfun in #hardware: All the earlier verifications still stand from this same running instance: KV fit at 0.35 (18 GB / 1.79M tokens → 6.84× at full 256K), tool calling working (structured tool_calls, qwen3_coder), and 44K-token needle …
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
  text/plain54 Bdoc:memory/claims/session/discord:1349727923434815519:1474609483052355796/30584c55-874d-4651-890d-6f83d01a4524
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  xenonfun in #hardware: running it thru some tests now.…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  xenonfun in #hardware: yeah its looking pretty solid…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  xenonfun in #hardware: would be nice if FP4 worked. Your GPU does not have native support for FP4 computation but FP4 quantization is being used. Weight-only FP4 compression will be used leveraging the Marlin kernel. This may degrade perfor…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
  text/plain157 Bdoc:memory/claims/session/discord:1349727923434815519:1474609483052355796/8780243b-2be7-4681-8ce3-966d6a6afe6a
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  xenonfun in #hardware: holo3.1 running. faster than nemo with zero optimization, will see how it goes: https://huggingface.co/Hcompany/Holo-3.1-35B-A3B-NVFP4…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  xenonfun in #hardware: yeah I was going to start looking but that guy been working on it. glad can quant as they are heavy.…
- full textctx:memory/claims/session/discord:1349727923434815519:1474609483052355796
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  ajaxdavis in #hardware: that will be pretty sick to have locally…
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  xenonfun in #hardware: https://x.com/i/status/2061810401013100871…

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FP16

Inbound mentions (20)

hasMemberHas Member(3)

acrossKemFieldsAcross Kem Fields(1)

casts-toCasts to(1)

castsToCasts to(1)

controls-precisionControls Precision(1)

convertsToConverts to(1)

ex:containsEntityEx:contains Entity(1)

ex:formatEx:format(1)

ex:lowerPrecisionThanEx:lower Precision Than(1)

ex:proposedFormatEx:proposed Format(1)

ex:supportsFormatEx:supports Format(1)

has-parameterHas Parameter(1)

hasParameterHas Parameter(1)

involvesDataTypeInvolves Data Type(1)

is-enabled-byIs Enabled by(1)

realizesBenefitOfRealizes Benefit of(1)

usesUses(1)

usesPrecisionUses Precision(1)

Other facts (60)

Timeline

References (11)

See also

Keep researching

`hasMember`Has Member(3)

`acrossKemFields`Across Kem Fields(1)

`casts-to`Casts to(1)

`castsTo`Casts to(1)

`controls-precision`Controls Precision(1)

`convertsTo`Converts to(1)

`ex:containsEntity`Ex:contains Entity(1)

`ex:format`Ex:format(1)

`ex:lowerPrecisionThan`Ex:lower Precision Than(1)

`ex:proposedFormat`Ex:proposed Format(1)

`ex:supportsFormat`Ex:supports Format(1)

`has-parameter`Has Parameter(1)

`hasParameter`Has Parameter(1)

`involvesDataType`Involves Data Type(1)

`is-enabled-by`Is Enabled by(1)

`realizesBenefitOf`Realizes Benefit of(1)

`uses`Uses(1)

`usesPrecision`Uses Precision(1)