Models › DialoGPT-small family

microsoft MIT out 5 years ago

176M parameters, text in, text out, 1K tokens of context.

Verified 2026-10-25 Rank #457 in LLMs · score 77.8 method v1 Sources 3 Downloads 30d 46.3k · #390 of 619 tracked

Can I run it?0.1GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?MITPermissivelicence file2026-10-24
Do people use it?46.3kdownloads, 30 days#390 of 619 we track · below the median+2 likes, downloads +6% this week154 likesHugging Face2026-10-24

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 18 quantized builds and 100 Spaces.

  • As a service0no API provider listed
  • On own hardware18quantized builds
  • Built on8354 fine-tunes · 21 adapters · 8 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: yerang/LivePortrait2 ♥ 4 · vasu0508/Meena_Chatbot ♥ 3 · baouws/codel ♥ 3 · rivapereira123/firstaid ♥ 3

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 16 GB card at INT4

About 0.1 GB at INT4, 0.2 GB at FP8, 0.4 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.1 GB of weights (estimate; KV cache and activations extra)INT40.1 GBFP8: about 0.2 GB of weights (estimate; KV cache and activations extra)FP80.2 GBBF16: about 0.4 GB of weights (estimate; KV cache and activations extra)BF160.4 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 0.1 GB of weights (estimate; KV cache and activations extra)INT40.1 GBFP8: about 0.2 GB of weights (estimate; KV cache and activations extra)FP80.2 GBBF16: about 0.4 GB of weights (estimate; KV cache and activations extra)BF160.4 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

20 repo commits since the weights landed

Teal is the weights (2022-03-02), grey ticks are repo commits.

AprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-02-29: 1 repo commit2024-02-16: 1 repo commit2023-11-28: 1 repo commit2023-06-26: 1 repo commit2023-01-24: 1 repo commit2021-05-23: 2 repo commits2021-02-23: 2 repo commits2020-12-11: 1 repo commit2020-10-14: 1 repo commit2020-04-24: 1 repo commit2020-04-11: 1 repo commit2020-03-23: 1 repo commit2020-03-11: 1 repo commit2020-03-10: 5 repo commitsWeights 2022-03-02 · 2022-03-02Weights 2022-03-02now
AprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-02-29: 1 repo commit2024-02-16: 1 repo commit2023-11-28: 1 repo commit2023-06-26: 1 repo commit2023-01-24: 1 repo commit2021-05-23: 2 repo commits2021-02-23: 2 repo commits2020-12-11: 1 repo commit2020-10-14: 1 repo commit2020-04-24: 1 repo commit2020-04-11: 1 repo commit2020-03-23: 1 repo commit2020-03-11: 1 repo commit2020-03-10: 5 repo commitsWeights 2022-03-02 · 2022-03-02Weights 2022-03-02now

What people built on it

101 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

101 derivatives on the Hub, most of them fine-tunes

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

18 quantized (Hugging Face model tree)54 fine-tunes (Hugging Face model tree)8 merges (Hugging Face model tree)21 adapters (Hugging Face model tree)18 quantized54 fine-tunes8 merges21 adapters
18 quantized (Hugging Face model tree)54 fine-tunes (Hugging Face model tree)8 merges (Hugging Face model tree)21 adapters (Hugging Face model tree)18 quantized54 fine-tunes8 merges21 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

8 rows

Benchmarks 8 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (8)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported ARC (25-shot)25.77—model author2026-10-07
author-reported Avg.25.02—model author2026-10-07
author-reported DROP (3-shot)0—model author2026-10-07
author-reported GSM8K · Reason through hard problems0—model author2026-10-07
author-reported HellaSwag · Chat and follow instructions25.79—model author2026-10-07
author-reported MMLU · Reason through hard problems25.81—model author2026-10-07
author-reported TruthfulQA · Chat and follow instructions47.49—model author2026-10-07
author-reported Winogrande · Chat and follow instructions50.28—model author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

DialoGPT is a 176M parameter text-generation model designed for multiturn conversations.[1][2]

  1. parameters human
  2. “multiturn conversations”

Generated 2026-10-07 15:12 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

3 use cases

What it is good at 3 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

19 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesGPT2LMHeadModel
Model typegpt2
Params by dtypeF16: 175,620,096
Size bandS
MoEno
Context length1,024 (config.json max_position_embeddings)
PapersarXiv:1911.00536
LicenseMIT (mit)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · GPT2LMHeadModel · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · GPT2LMHeadModel · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for DialoGPT-small: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)0.4 GB · Edge (<4 GB)
FP8 (1 byte/param)0.2 GB · Edge (<4 GB)
INT4 (0.5 bytes/param)0.1 GB · Edge (<4 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

40 variants

Lineage

Original model Family: microsoft/DialoGPT-small 101 derivatives on the Hub

finetune: 54adapter: 21quantized: 18merge: 8

Top variants (40 shown, ranked by downloads)

Relation
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
ostorc/Conversational_Spanish_GPT finetune — 124M S — ostorc 9 13.3k
iamhariraj/DialoGPT-small-Rick finetune — — — mit iamhariraj 1 7k
DedeProGames/dialochess finetune — 124M S mit DedeProGames 0 1.9k
SaadHS98/DialoGPT-small-garycoleman finetune — 124M S — SaadHS98 1 1.5k
qazws345/DialogGPT_Psycho8k finetune — 124M S mit qazws345 0 913
cvnberk/DialoGPT-small-crd3 finetune — — — mit cvnberk 0 493
wyuancs/fine_tuned_DialogueGPT_on_DailyDialog finetune — — — mit wyuancs 0 475
Prezily/gpt2-trial-r2 finetune — 124M S mit Prezily 0 463
sweatSmile/DialoGPT-Financial-Market-Sentiment-Trading-Assistant adapter — 124M S mit sweatSmile 5 206
schnabear/DialoGPT-small-FinalFantasyDialogue finetune — — — mit schnabear 0 449
LuangMV97/DialoGPT_EmpAI_small finetune — 124M S mit LuangMV97 0 441
Yumeng-Liu/YumengBot finetune — 124M S mit Yumeng-Liu 1 390
thealper2/dialogpt-small-dailydialog finetune — 124M S cc-by-nc-sa-4.0 thealper2 0 440
LuangMV97/DialoGPT_EmpAI_smallPrueba2 finetune — 124M S mit LuangMV97 0 396
LuangMV97/DialoGPT_EmpAI_final2 finetune — 124M S mit LuangMV97 0 370
amayuru5678/sl-domestic-violence-legal-lora adapter — — — — amayuru5678 0 336
Dagonez/DialoGPT-small-Barney-Bot finetune — 355M S — Dagonez 0 325
anktechsol/ankiGPT-small finetune — 124M S mit anktechsol 1 268
chimchimba/dialogpt-customer-support finetune — 163M S mit chimchimba 0 257
devparagiri/convex-2-20250731-194022 quantized GGUF 124M S other devparagiri 0 233
devparagiri/a-20250817-103351 quantized GGUF 124M S other devparagiri 0 217
sweatSmile/DialoGPT-Financial-Wealth-Management-Advisor adapter — 124M S mit sweatSmile 1 141
afscomercial/streamlit-chatbot-aviation finetune — 124M S mit afscomercial 1 135
devparagiri/acme-20250720-094933 quantized GGUF 124M S other devparagiri 0 175
BuyTee/dialo-techsupport finetune — 124M S mit BuyTee 0 171
amitom/gpt2-DiabloGPT-TA merge — 163M S — amitom 0 168
devparagiri/acme-20250721-025929 quantized GGUF 124M S other devparagiri 0 165
devparagiri/acmes-20250722-092611 quantized GGUF 124M S other devparagiri 0 160
onnx-community/DialoGPT-small-ONNX quantized — — — mit onnx-community 0 151
AbdullahAi2005/cashapp-fresh finetune — 124M S mit AbdullahAi2005 0 145
devparagiri/acme-20250721-033720 quantized GGUF 124M S other devparagiri 0 143
devparagiri/acmes-20250722-230949 quantized GGUF 124M S other devparagiri 0 140
devparagiri/acme-20250720-053326 quantized GGUF 124M S other devparagiri 0 139
ajsal27/results adapter — — — mit ajsal27 1 88
devparagiri/acme-20250721-030327 quantized GGUF 124M S other devparagiri 0 131
devparagiri/test-2-20250731-195041 quantized GGUF 124M S other devparagiri 0 129
vpadaraju/misafetychatbot finetune — 124M S mit vpadaraju 0 128
devparagiri/TEST-2-20250728-013552 quantized GGUF 124M S other devparagiri 0 127
devparagiri/acmes-20250722-230042 quantized GGUF 124M S other devparagiri 0 125
devparagiri/test-1-20250728-055006 quantized GGUF 124M S other devparagiri 0 124

Repository changelog

20 commits

Repository changelog 20 commits

DateCommitSHA
2024-02-29 Fix Conversational Widget (#9) 49c5371
2024-02-16 Add default chat template to tokenizer_config.json (#8) abd2854
2023-11-28 Adding Evaluation Results (#5) 14b0073
2023-06-26 Adding `safetensors` variant of this model (#2) 97d0fec
2023-01-24 Adding generation config file(s) 4e936e3
2021-05-23 upload flax model f9c829d
2021-05-23 allow flax 4d13fd5
2021-02-23 Update tokenizer_config.json 9fb5c2d
2021-02-23 Create tokenizer_config.json 364722e
2020-12-11 Migrate model card from transformers-repo 2f89b19
2020-10-14 Update config.json ac43d91
2020-04-24 Update config.json b7ac3a6
2020-04-11 Update tf_model.h5 730b69f
2020-03-23 Update config.json 46bd8a3
2020-03-11 Update config.json fe20bc6
2020-03-10 Update pytorch_model.bin fbb567d
2020-03-10 Update vocab.json 6af4e59
2020-03-10 Update merges.txt dd81ba1
2020-03-10 Update config.json 84fac20
2020-03-10 initial commit a13386b

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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