Mistral-Small-3.1-24B-Instruct-2503-GGUF

Home/Models/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF

Mistral-Small-3.1-24B-Instruct-2503-GGUF

unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF

kind: gguf
quant: gguf (16-bit)
family: mistral
modality: —
root model: mistralai/Mistral-Small-3.1-24B-Instruct-2503
provider: unsloth
license: apache-2.0
language: en, fr, de, es, pt, it, ja, ko, ru, zh, ar, fa
context: —
library: vllm
vRAM (GB): —
size on disk: —
downloads: 3,356
likes: 94
created: —
last modified: 2025-05-21T14:40:22+00:00 (2025)
huggingface: https://huggingface.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF
tags: vllmggufmistral3enfrdeesptitjakoruzharfaidmsneplrosrsvtruk

Benchmark scores (21)

benchmark	category	score	context	conf	evidence
DocVQA	multimodal	94.08		low	`\| Small 3.1 24B Instruct \| 64.00% \| 49.25% \| 68.91% \| 86.24% \| 94.08% \| 93.72% \| 7.3 \|`
RULER	long-context	93.96	RULER 32K \| RULER 128K	low	`\| Small 3.1 24B Instruct \| 37.18% \| 93.96% \| 81.20% \|`
HumanEval	coding	88.41	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
ChartQA	multimodal	86.24		low	`\| Small 3.1 24B Instruct \| 64.00% \| 49.25% \| 68.91% \| 86.24% \| 94.08% \| 93.72% \| 7.3 \|`
MMLU	knowledge	81.01	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT)	low	`\| Small 3.1 24B Base \| 81.01% \| 56.03% \| 80.50% \| 37.50% \| 59.27% \|`
MMLU	knowledge	80.62	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
TriviaQA	knowledge	80.5	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT)	low	`\| Small 3.1 24B Base \| 81.01% \| 56.03% \| 80.50% \| 37.50% \| 59.27% \|`
MBPP	coding	74.71	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
MATH	math	69.3	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
MathVista	multimodal	68.91		low	`\| Small 3.1 24B Instruct \| 64.00% \| 49.25% \| 68.91% \| 86.24% \| 94.08% \| 93.72% \| 7.3 \|`
MMLU-Pro	knowledge	66.76	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
MMMU	multimodal	64.0		low	`\| Small 3.1 24B Instruct \| 64.00% \| 49.25% \| 68.91% \| 86.24% \| 94.08% \| 93.72% \| 7.3 \|`
MMMU	multimodal	59.27	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT)	low	`\| Small 3.1 24B Base \| 81.01% \| 56.03% \| 80.50% \| 37.50% \| 59.27% \|`
MMLU-Pro	knowledge	56.03	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT)	low	`\| Small 3.1 24B Base \| 81.01% \| 56.03% \| 80.50% \| 37.50% \| 59.27% \|`
GPQA Diamond	reasoning	45.96	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
GPQA	reasoning	44.42	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
GPQA	reasoning	37.5	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT)	low	`\| Small 3.1 24B Base \| 81.01% \| 56.03% \| 80.50% \| 37.50% \| 59.27% \|`
LongBench	long-context	37.18	RULER 32K \| RULER 128K	low	`\| Small 3.1 24B Instruct \| 37.18% \| 93.96% \| 81.20% \|`
RULER	long-context	32.0		medium	`RULER 32`
SimpleQA	knowledge	10.43	MMLU Pro (5-shot CoT) \| GPQA Main (5-shot CoT) \| GPQA Diamond (5-shot CoT )	low	`\| Small 3.1 24B Instruct \| 80.62% \| 66.76% \| 69.30% \| 44.42% \| 45.96% \| 74.71% \| 88.41% \| 10.43% \|`
MT-Bench	chat	7.3		low	`\| Small 3.1 24B Instruct \| 64.00% \| 49.25% \| 68.91% \| 86.24% \| 94.08% \| 93.72% \| 7.3 \|`

Discussions (0)

none scraped.