Models › DeepSeek-V2.5 family

deepseek-ai DeepSeek License (deepseek) out 2 years ago

236B parameters (6 of 160 experts per token), text in, text out, 160K tokens of context.

Verified 2026-10-25 Rank #614 in LLMs · score 73.8 method v1 Sources 3 Downloads 30d 4.5k · #552 of 619 tracked

Can I run it?141GB at INT4Estimatefits 2×80 GBmethod
Can I use it?DeepSeek License (deepseek)Attribution requiredlicence file2026-10-24
Do people use it?4.5kdownloads, 30 days#552 of 619 we track · below the median+2 likes, downloads −18% this week749 likesHugging Face2026-10-24

Worth reading

Picked by rule from 1 tracked piece: the lab's own post, the most shared, a field report, the latest.

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: 8 quantized builds and 68 Spaces.

  • As a service0no API provider listed
  • On own hardware8quantized builds
  • Built on97 fine-tunes · 2 adapters · 0 merges
  • In apps68Hugging Face Spaces

Top Spaces running it: KBaba7/Quant ♥ 51 · FallnAI/Quantize-HF-Models ♥ 19 · bhaskartripathi/LLM_Quantization ♥ 16 · openfree/LLM_Quantization ♥ 16

Will it fit?

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

Fits two 80 GB GPUs at INT4; too big for one

About 141 GB at INT4, 283 GB at FP8, 566 GB at BF16: weights only, so leave room for the KV cache. Every expert must be resident, so total parameters count.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 141 GB of weights (estimate; KV cache and activations extra)INT4141 GBFP8: about 283 GB of weights (estimate; KV cache and activations extra)FP8283 GBBF16: about 566 GB of weights (estimate; KV cache and activations extra)BF16566 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 141 GB of weights (estimate; KV cache and activations extra)INT4141 GBFP8: about 283 GB of weights (estimate; KV cache and activations extra)FP8283 GBBF16: about 566 GB of weights (estimate; KV cache and activations extra)BF16566 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.

1 dated article and 8 repo commits so far

Teal is the weights (2024-09-05), amber triangles are 1 dated article (each links to it), grey ticks are repo commits.

OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-11: 1 repo commit2024-10-08: 1 repo commit2024-09-06: 4 repo commits2024-09-05: 2 repo commitsDeepSeek v2.5 – open-source LLM comparable to GPT-4, but 95% less expensive · 2024-09-10Weights 2024-09-05 · 2024-09-05Weights 2024-09-05now
OctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-12-11: 1 repo commit2024-10-08: 1 repo commit2024-09-06: 4 repo commits2024-09-05: 2 repo commitsDeepSeek v2.5 – open-source LLM comparable to GPT-4, but 95% less expensive · 2024-09-10Weights 2024-09-05 · 2024-09-05Weights 2024-09-05now

What people built on it

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

17 derivatives on the Hub, led by 8 quantized

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

8 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)2 adapters (Hugging Face model tree)8 quantized7 fine-tunes2 adapters
8 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)2 adapters (Hugging Face model tree)8 quantized7 fine-tunes2 adapters

All variants →

Reference

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

Benchmarks

11 rows

Benchmarks 11 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (11)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 Aider Polyglot · Write code with agents72.2—model author2026-10-07
author-reported AlignBench8.04—model author2026-10-07
author-reported AlpacaEval · Chat and follow instructions50.5—model author2026-10-07
author-reported Arena-Hard · Chat and follow instructions76.2—model author2026-10-07
author-reported DS-Arena-Code63.1—model author2026-10-07
author-reported DS-FIM-Eval78.3—model author2026-10-07
author-reported HumanEval · Write code with agents89—model author2026-10-07
author-reported HumanEval · Write code with agents73.8—model author2026-10-07
author-reported LiveCodeBench · Write code with agents41.8—model author2026-10-07
author-reported MT-Bench · Chat and follow instructions9.02—model author2026-10-07
author-reported SWE-bench Verified · Write code with agents16.8—model author2026-10-07

Use-case evidence

4 use cases

What it is good at 4 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

22 fields

Listed in LLMs · MoE

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesDeepseekV2ForCausalLM
Model typedeepseek_v2
Dtypebfloat16
Params by dtypeBF16: 235,741,434,880
Size bandXXL
MoEyes
Experts160
Experts per token6
Context length163,840 (config.json max_position_embeddings)
PapersarXiv:2405.04434
LicenseDeepSeek License (deepseek) (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · DeepseekV2ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · DeepseekV2ForCausalLM · 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 DeepSeek-V2.5: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)566 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)283 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)141 GB · Multi-GPU node (<640 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra. MoE: all experts must be resident, so total parameters count.

All variants

17 variants

Lineage

Original model Family: deepseek-ai/DeepSeek-V2.5 17 derivatives on the Hub

quantized: 8finetune: 7adapter: 2

Top variants (17 shown, ranked by downloads)

Relation
Quant
17 rows
Variant Relation Quant Params Band License Author Likes Downloads
mlx-community/DeepSeek-V2.5-MLX-AQ4_1_64 quantized MLX 236B XXL other mlx-community 2 958.3k
bartowski/DeepSeek-V2.5-GGUF quantized GGUF — — other bartowski 43 337.8k
MaziyarPanahi/DeepSeek-V2.5-GGUF quantized GGUF — — — MaziyarPanahi 3 254.2k
legraphista/DeepSeek-V2.5-IMat-GGUF quantized GGUF — — other legraphista 4 34.4k
second-state/DeepSeek-V2.5-GGUF quantized GGUF — — other second-state 0 11.3k
lmstudio-community/DeepSeek-V2.5-GGUF quantized GGUF — — other lmstudio-community 11 9.4k
bullerwins/DeepSeek-V2.5-GGUF quantized GGUF — — other bullerwins 2 2.4k
mradermacher/DeepSeek-V2.5-i1-GGUF quantized GGUF — — other mradermacher 2 991
ericfjl/chatQiBo finetune — — — apache-2.0 ericfjl 0 0
mradermacher/DeepSeek-V2.5-GGUF finetune GGUF — — other mradermacher 0 0
CK85/Ck85 finetune — — — openrail CK85 0 0
LfaNick7907/Liliana finetune — — — apache-2.0 LfaNick7907 0 0
louferbrasbs4pro/Alice finetune — — — apache-2.0 louferbrasbs4pro 0 0
Bahridd/Gurdofarid adapter — — — mit Bahridd 0 0
DomedyYesDom/A-test adapter — — — mit DomedyYesDom 0 0
aleksaDam997/insuranceAPI finetune — — — — aleksaDam997 0 0
boltzmzn/han finetune — — — bsl-1.0 boltzmzn 0 0

Repository changelog

8 commits

Repository changelog 8 commits

DateCommitSHA
2024-12-11 Update tokenizer_config.json c85b5ed
2024-10-08 Update metadata (#9) 98b1184
2024-09-06 Update README.md 24b08cb
2024-09-06 Update README.md 594d86b
2024-09-06 Update README.md 5941330
2024-09-06 Update tokenizer.json cb6425f
2024-09-05 Upload folder using huggingface_hub a05fd5f
2024-09-05 initial commit 83646f4

Articles and coverage

1 piece

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency.

Official1

deepseek.com2024-09-10officialauthorityHN front pageHN 193 pts · 75 comments38 words

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 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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