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Welcome to the TuRTLe Model Leaderboard! Use the filters below to explore different RTL benchmarks and models.

If you have any inquiries or wish to collaborate: hpai@bsc.es

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	Type	Model	Params	Average ⬆️	STX	FNC	SYN	Power	Perf	Area
🟢	DeepSeek R1 Distill Qwen 14B	32.5	61.79	96.54	79.74	78.97	38.94	37.82	38.76

	Type	Model	Params	Average ⬆️	STX	FNC	SYN	Power	Perf	Area
1	🟢	DeepSeek R1	685	61.79	96.54	79.74	78.97	38.94	37.82	38.76
2	🟢	Llama 3.1 405B	406	47.3	89.1	57.05	56.67	27.18	27	26.79
3	🟢	Qwen2.5 32B	32.5	44.96	89.36	52.95	51.67	26.02	24.46	25.32
4	🟢	Qwen2.5 72B	72.7	42.74	81.15	51.15	50.38	25.4	23.83	24.52
5	🔴	OriGen	6.74	42.25	91.02	46.54	46.92	23.38	22.18	23.44
6	🔴	HaVen-CodeQwen	7.25	40.83	90.26	45.9	44.36	21.77	21.23	21.46
7	🔵	QwenCoder 2.5 32B	32.5	40.01	87.69	45.64	43.33	21.51	20.72	21.17
8	🟢	StarChat2 15B v0.1	16	36.67	86.54	38.72	38.59	19.18	17.99	19
9	🔵	QwenCoder 2.5 14B	14.7	34.67	79.74	37.82	37.05	18.03	17.6	17.78
10	🟢	Llama 3.(1-3) 70B	70.6	34.25	67.69	40	39.87	19.76	18.69	19.51
11	🔵	CodeLlama 70B	69	32.37	72.05	35.51	35.38	17.32	16.74	17.2
12	🔴	RTLCoder DeepSeek	6.74	31.53	75.26	33.33	32.95	16.02	15.71	15.9
13	🔵	DeepSeek Coder 6,7B	6.74	30.4	80.12	29.87	29.36	14.71	13.69	14.64
14	🔵	OpenCoder 8B	7.77	28.88	75.77	28.59	28.21	13.81	13.16	13.71
15	🔴	CodeV-CL-7B	6.74	24.64	55.38	27.05	26.79	13.2	12.39	13.03
16	🔴	RTLCoder Mistral	7.24	22.22	52.05	23.59	23.59	11.67	10.87	11.56
17	🔵	DeepSeek Coder 33B	33.3	21.13	57.82	19.87	19.87	9.94	9.83	9.47
18	🟢	DeepSeek R1 Distill Qwen 14B	14.8	20.61	41.28	23.85	23.72	11.81	11.25	11.76
19	🔴	CodeV-QW-7B	7.25	17.95	41.79	19.1	18.72	9.36	9.36	9.38
20	🔴	CodeV-DS-6.7B	6.74	13.61	30.77	14.87	14.62	7.3	6.9	7.22
21	🔵	QwenCoder 2.5 7B	7.61	6.98	19.62	6.41	6.41	3.12	3.18	3.16

HPAI-BSC