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Gemma 3n E4B

Google

Gemma 3n E4B

-

Input tokens/M

-

Output tokens/M

-

Context Length

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed

-

Input tokens/M

-

Output tokens/M

-

Context Length

Gemma 3n E4B Instructed LiteRT Preview

Google

Gemma 3n E4B Instructed LiteRT Preview

-

Input tokens/M

-

Output tokens/M

-

Context Length

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed

$140

Input tokens/M

$280

Output tokens/M

32

Context Length

ERNIE-4.5-21B-A3B-Paddle

Baidu

ERNIE-4.5-21B-A3B-Paddle

-

Input tokens/M

-

Output tokens/M

-

Context Length

ERNIE-4.5-0.3B

Baidu

ERNIE-4.5-0.3B

$0.1

Input tokens/M

$0.4

Output tokens/M

128

Context Length

Sungur 9B GGUF

suayptalha

S

Sungur-9B is a text generation model specifically optimized for the Turkish language. It is based on the Gemma-2-9b architecture and trained using the Direct Preference Optimization (DPO) dataset and 4-bit QLoRA fine-tuning technology. It can generate fluent Turkish text that meets human preferences.

Natural Language ProcessingGgufGgufOther
suayptalha
790
3

SRPO

tencent

S

SRPO is a human preference alignment method for diffusion models. Through Direct-Align technology and semantic relative preference optimization, it significantly improves the realism and aesthetic quality of the FLUX.1-dev model, and solves the problems of high computational cost in multi-step denoising and dependence on offline reward fine-tuning.

Computer VisionDiffusersDiffusers
tencent
1.2k
49
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