Falcon-H1-34B-Instruct-GGUF

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Falcon-H1-34B-Instruct-GGUF

unsloth/Falcon-H1-34B-Instruct-GGUF

kind: gguf
quant: gguf (16-bit)
family: falcon
modality: —
root model: tiiuae/Falcon-H1-34B-Instruct
provider: unsloth
license: other
language: —
context: —
library: transformers
vRAM (GB): —
size on disk: —
downloads: 301
likes: 2
created: —
last modified: 2025-07-10T10:37:19+00:00 (2025)
huggingface: https://huggingface.co/unsloth/Falcon-H1-34B-Instruct-GGUF
tags: transformersgguffalcon-h1unslothbase_model:tiiuae/Falcon-H1-34B-Instructbase_model:quantized:tiiuae/Falcon-H1-34B-Instructlicense:otherendpoints_compatibleregion:usimatrixconversational

Benchmark scores (18)

benchmark	category	score	context	conf	evidence
IFEval	instruction-following	89.37	IFEval	medium	`\| IFEval \| 89.37 \| 86.97 \| 86.35 \| 81.79 \| 83.19 \| 89.94 \| 86.32 \|`
HumanEval	coding	87.2	HumanEval	medium	`\| HumanEval \| 87.2 \| 90.85 \| 87.2 \| 90.24 \| 86.59 \| 83.53 \| 85.4 \|`
MMLU	knowledge	84.05	MMLU	medium	`\| MMLU \| 84.05 \| 80.89 \| 84.42 \| 82.8 \| 78.01 \| 82.08 \| 80.4 \|`
MBPP	coding	83.86	MBPP	medium	`\| MBPP \| 83.86 \| 86.24 \| 89.68 \| 87.83 \| 88.36 \| 88.09 \| 81.5 \|`
MATH-500	math	83.8	MATH-500	medium	`\| MATH-500 \| 83.8 \| 82.0 \| 83.6 \| 82.2 \| 90.0 \| 70.6 \| 83.2 \|`
GSM8K	math	83.62	GSM8k	medium	`\| GSM8k \| 83.62 \| 88.78 \| 82.26 \| 78.47 \| 90.37 \| 93.71 \| 90.37 \|`
MMLU	knowledge	83.57	MMLU-stem	medium	`\| MMLU-stem \| 83.57 \| 81.64 \| 82.59 \| 82.37 \| 73.55 \| 74.88 \| 75.2 \|`
HellaSwag	knowledge	81.94	HellaSwag	medium	`\| HellaSwag \| 81.94 \| 68.89 \| 68.79 \| 73.95 \| 57.25 \| 70.24 \| 65.03 \|`
HumanEval	coding	81.71	HumanEval+	medium	`\| HumanEval+ \| 81.71 \| 85.37 \| 80.49 \| 82.32 \| 78.05 \| 79.87 \| 78.7 \|`
MBPP	coding	71.43	MBPP+	medium	`\| MBPP+ \| 71.43 \| 71.96 \| 75.4 \| 74.07 \| 74.07 \| 73.81 \| 64.8 \|`
BBH	reasoning	70.68	BBH	medium	`\| BBH \| 70.68 \| 62.47 \| 72.52 \| 68.72 \| 67.28 \| 69.15 \| 64.9 \|`
TruthfulQA	safety	65.27	TruthfulQA	medium	`\| TruthfulQA \| 65.27 \| 58.58 \| 69.8 \| 70.28 \| 64.26 \| 66.15 \| 62.74 \|`
MMLU-Pro	knowledge	58.73	MMLU-Pro	medium	`\| MMLU-Pro \| 58.73 \| 54.68 \| 56.35 \| 56.63 \| 47.81 \| 53.29 \| 55.58 \|`
LiveCodeBench	coding	49.71	LiveCodeBench	medium	`\| LiveCodeBench \| 49.71 \| 45.01 \| 54.6 \| 49.12 \| 39.53 \| 40.31 \| 40.12 \|`
GPQA Diamond	reasoning	49.66	GPQA_Diamond	medium	`\| GPQA_Diamond \| 49.66 \| 49.49 \| 44.95 \| 40.74 \| 47.47 \| 42.09 \| 51.18 \|`
AlpacaEval	chat	48.32	Alpaca-Eval	medium	`\| Alpaca-Eval \| 48.32 \| 64.21 \| 49.29 \| 39.26 \| 56.16 \| 38.27 \| 36.26 \|`
GPQA	reasoning	41.53	GPQA	medium	`\| GPQA \| 41.53 \| 30.2 \| 37.67 \| 34.31 \| 36.49 \| 31.99 \| 31.8 \|`
MT-Bench	chat	9.2	MTBench	medium	`\| MTBench \| 9.2 \| 9.05 \| 9.16 \| 9.09 \| 8.75 \| 8.98 \| 8.98 \|`

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