add model Slime and Benchmark mme_realworld_lite

[yfzhang114]

PR Summary

This pull request introduces two key updates:

1. Added the Slime model.
2. Updated the download link for MME-RealWorld, and added a new version, MME-RealWorld-lite, which samples 50 instances per task from MME-RealWorld for inference acceleration.

Performance Results on MME-RealWorld-lite

Below are the performance results of the Slime model, along with other models, on the MME-RealWorld-lite dataset.

Method	LLM	Overall	Perception						Reasoning
			OCR	RS	DT	MO	AD	Avg	OCR	DT	MO	AD	Avg
GPT-4o	-	46.4	81	45	65	34	37	49.1	72	50	42	33	42.1
GPT-4o-mini	-	37.4	70	23	62	19	34	38.8	57	39	19	35	35.2
Qwen2-VL	Qwen2-7B	46.7	86	40	74	28	36	48.2	73	46	47	36	44.4
LLaVA-OV	Qwen2-7B	45.8	82	51	64	34	45	52.8	71	43	45	35	42.7
Slime	Llama3-8B	37.1	58	36	51	29	33	37.7	51	27	41	34	36.4