DeepSeek-V4-Pro

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DeepSeek-V4-Pro

unsloth/DeepSeek-V4-Pro

kind: fp8
quant: fp8 (8-bit)
family: deepseek
modality: text-generation
root model: deepseek-ai/DeepSeek-V4-Pro
provider: unsloth
license: mit
language: —
context: —
library: transformers
vRAM (GB): —
size on disk: —
downloads: 172
likes: 62
created: —
last modified: 2026-04-24T15:54:36+00:00 (2026)
huggingface: https://huggingface.co/unsloth/DeepSeek-V4-Pro
tags: transformerssafetensorsdeepseek_v4text-generationbase_model:deepseek-ai/DeepSeek-V4-Probase_model:quantized:deepseek-ai/DeepSeek-V4-Prolicense:mitendpoints_compatible8-bitfp8region:us

Benchmark scores (27)

benchmark	category	score	context	conf	evidence
GPQA Diamond	reasoning	91.3	GPQA Diamond (Pass@1)	medium	`\| GPQA Diamond (Pass@1) \| 91.3 \| 93.0 \| 94.3 \| 90.5 \| 86.2 \| 90.1 \|`
GSM8K	math	91.1	GSM8K (EM)	medium	`\| GSM8K (EM) \| 8-shot \| 91.1 \| 90.8 \| 92.6 \|`
C-Eval	knowledge	90.4	C-Eval (EM)	medium	`\| C-Eval (EM) \| 5-shot \| 90.4 \| 92.1 \| 93.1 \|`
CMMLU	knowledge	88.9	CMMLU (EM)	medium	`\| CMMLU (EM) \| 5-shot \| 88.9 \| 90.4 \| 90.8 \|`
LiveCodeBench	coding	88.8	LiveCodeBench (Pass@1)	medium	`\| LiveCodeBench (Pass@1) \| 88.8 \| - \| 91.7 \| 89.6 \| - \| 93.5 \|`
DROP	reasoning	88.2	DROP (F1)	medium	`\| DROP (F1) \| 1-shot \| 88.2 \| 88.6 \| 88.7 \|`
MMLU	knowledge	87.8	MMLU (EM)	medium	`\| MMLU (EM) \| 5-shot \| 87.8 \| 88.7 \| 90.1 \|`
BBH	reasoning	87.6	BBH (EM)	medium	`\| BBH (EM) \| 3-shot \| 87.6 \| 86.9 \| 87.5 \|`
MMLU	knowledge	87.5	MMLU-Redux (EM)	medium	`\| MMLU-Redux (EM) \| 5-shot \| 87.5 \| 89.4 \| 90.8 \|`
HellaSwag	knowledge	86.4	HellaSwag (EM)	medium	`\| HellaSwag (EM) \| 0-shot \| 86.4 \| 85.7 \| 88.0 \|`
BrowseComp	agentic	83.7	BrowseComp (Pass@1)	medium	`\| BrowseComp (Pass@1) \| 83.7 \| 82.7 \| 85.9 \| 83.2 \| 79.3 \| 83.4 \|`
TriviaQA	knowledge	83.3	TriviaQA (EM)	medium	`\| TriviaQA (EM) \| 5-shot \| 83.3 \| 82.8 \| 85.6 \|`
MGSM	math	81.3	MGSM (EM)	medium	`\| MGSM (EM) \| 8-shot \| 81.3 \| 85.7 \| 84.4 \|`
AGIEval	reasoning	80.1	AGIEval (EM)	medium	`\| AGIEval (EM) \| 0-shot \| 80.1 \| 82.6 \| 83.1 \|`
WinoGrande	knowledge	78.9	WinoGrande (EM)	medium	`\| WinoGrande (EM) \| 0-shot \| 78.9 \| 79.5 \| 81.5 \|`
SimpleQA	knowledge	76.4	Chinese-SimpleQA (Pass@1)	medium	`\| Chinese-SimpleQA (Pass@1) \| 76.4 \| 76.8 \| 85.9 \| 75.9 \| 75.0 \| 84.4 \|`
MMLU-Pro	knowledge	65.5	MMLU-Pro (EM)	medium	`\| MMLU-Pro (EM) \| 5-shot \| 65.5 \| 68.3 \| 73.5 \|`
Terminal-Bench 2.0	agentic-coding	65.4	Terminal Bench 2.0 (Acc)	medium	`\| Terminal Bench 2.0 (Acc) \| 65.4 \| 75.1 \| 68.5 \| 66.7 \| 63.5 \| 67.9 \|`
BigCodeBench	coding	63.9	BigCodeBench (Pass@1)	medium	`\| BigCodeBench (Pass@1) \| 3-shot \| 63.9 \| 56.8 \| 59.2 \|`
HumanEval	coding	62.8	HumanEval (Pass@1)	medium	`\| HumanEval (Pass@1) \| 0-shot \| 62.8 \| 69.5 \| 76.8 \|`
MATH	math	60.5	MATH (EM)	medium	`\| MATH (EM) \| 4-shot \| 60.5 \| 57.4 \| 64.5 \|`
Humanity's Last Exam	knowledge	53.1	HLE w/ tools (Pass@1)	medium	`\| HLE w/ tools (Pass@1) \| 53.1 \| 52.0 \| 51.6 \| 54.0 \| 50.4 \| 48.2 \|`
SimpleQA	knowledge	46.2	SimpleQA-Verified (Pass@1)	medium	`\| SimpleQA-Verified (Pass@1) \| 46.2 \| 45.3 \| 75.6 \| 36.9 \| 38.1 \| 57.9 \|`
LongBench	long-context	40.2	LongBench-V2 (EM)	medium	`\| LongBench-V2 (EM) \| 1-shot \| 40.2 \| 44.7 \| 51.5 \|`
Humanity's Last Exam	knowledge	40.0	HLE (Pass@1)	medium	`\| HLE (Pass@1) \| 40.0 \| 39.8 \| 44.4 \| 36.4 \| 34.7 \| 37.7 \|`
SimpleQA	knowledge	28.3	Simple-QA verified (EM)	medium	`\| Simple-QA verified (EM) \| 25-shot \| 28.3 \| 30.1 \| 55.2 \|`
Terminal-Bench	agentic-coding	2.0		medium	`Terminal Bench 2.0`

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