Datasets:

dispatchAI
/

speed-ranking

rank int64 1 31	model stringlengths 18 35	cpu_tps float64 2.6 59.7	phone_tps unknown	size_mb float64 0 4.47k	chat_format stringclasses 3 values
1	SmolLM2-135M-Instruct-mobile	59.7	46	0	llama-3
2	SmolLM2-360M-Instruct-mobile	29.1	""	258.1	chatml
3	MiniCPM-V-4.6-mobile	23.4	""	504.6	chatml
4	SmolLM2-1.7B-Instruct-mobile	18.7	""	1,006.7	chatml
5	MiniCPM5-1B-multilingual-mobile	18.4	""	656.2	null
6	MiniCPM5-1B-mobile	18.1	""	656.2	null
7	TinyLlama-1.1B-Chat-mobile-int4	17.6	""	637.8	chatml
8	Qwen2.5-0.5B-Instruct-Server-mobile	16.7	""	482.3	chatml
9	Qwen2.5-0.5B-Chinese-mobile	16.4	""	400.6	chatml
10	Qwen2.5-Math-1.5B-mobile	15.7	""	940.4	chatml
11	Gemma-2B-Arabic-mobile	14.8	null	1,554.7	gemma
12	Qwen2.5-0.5B-Instruct-mobile-int4	12.5	23.2	0	chatml
13	Llama-3.2-1B-Instruct-Q4-mobile	11.3	5.4	0	chatml
14	TinyLlama-1.1B-Chat-Q5-mobile	10.9	""	746.7	chatml
15	SmolLM2-1.7B-Instruct-Q5-mobile	10.8	""	1,168.7	chatml
16	Llama-3.2-3B-FunctionCall-mobile	9.1	""	1,925.8	llama-3
17	Llama-3.2-1B-FunctionCall-mobile	8.9	null	1,925.8	chatml
18	Qwen2.5-1.5B-Instruct-Q8-mobile	8.7	""	1,570.3	chatml
19	Phi-3.5-mini-Instruct-mobile	8.6	""	2,282.4	chatml
20	Gemma-2-2B-IT-mobile	8.2	""	1,629.4	gemma
21	Qwen2.5-0.5B-Coder-mobile	8	""	379.4	chatml
22	Qwen2.5-Coder-1.5B-mobile	7.8	""	940.4	chatml
23	Qwen2.5-1.5B-Instruct-mobile-int4	7.7	""	1,065.6	chatml
24	Phi-3.5-mini-instruct-Q5-mobile	7	""	2,684.9	chatml
25	Gemma-2-2B-IT-Q5-mobile	5.7	""	1,834.2	gemma
26	Llama-3.2-1B-Instruct-Q6-mobile	5	""	974.5	llama-3
27	Llama-3.2-1B-Instruct-mobile	4.9	""	1,259.9	llama-3
28	Llama-3.2-3B-Instruct-mobile	4.8	""	1,925.8	llama-3
29	Qwen2.5-1.5B-Instruct-Q5-mobile	4.4	""	1,072.9	chatml
30	Qwen2.5-Coder-7B-mobile	3	""	4,466.1	chatml
31	Llama-3.2-3B-Instruct-Q5-mobile	2.6	""	2,214.6	llama-3

Speed Ranking

All 31 working dispatchAI models ranked by CPU inference speed.

🚀 dispatchAI

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