Ibrar Arif

MalikIbrar

malik-ibrar

AI & ML interests

I'm an enthusiastic learner and aspiring model builder. Eager to delve deeper into this dynamic field, I'm constantly seeking new challenges and opportunities to expand my knowledge and contribute to meaningful projects.

Recent Activity

liked a Space 2 days ago

HuggingFaceM4/faster-qwen3-tts-demo

liked a Space 3 days ago

Qwen/Qwen3-TTS

liked a model about 1 month ago

google/gemma-3n-E2B-it

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Organizations

liked a Space 2 days ago

faster-qwen3-tts

🎙

Generate speech from text, cloned or custom voices

liked a Space 3 days ago

Qwen3-TTS Demo

🎙

1.61k

Generate custom speech from text, voice descriptions, or samples

liked a model about 1 month ago

google/gemma-3n-E2B-it

Image-Text-to-Text • Updated Jul 14, 2025 • 291k • 275

liked a Space 2 months ago

Chatterbox Turbo Demo

⚡

480

Chatterbox Turbo Demo

liked a Space 5 months ago

Voice Agent WebRTC + LangGraph

🎙

Voice agent with LangGraph, WebRTC, ASR & TTS

liked 3 models 5 months ago

liked a dataset 6 months ago

AI4Math/MathVista

Viewer • Updated Feb 11, 2024 • 6.14k • 13.1k • 204

liked a dataset 7 months ago

Kwai-Keye/Thyme-RL

Viewer • Updated Aug 18, 2025 • 55.2k • 825 • 11

liked a model 7 months ago

openai/gpt-oss-120b

Text Generation • 120B • Updated Aug 26, 2025 • 4.12M • • 4.54k

liked 2 models 8 months ago

moonshotai/Kimi-K2-Instruct

Text Generation • 1T • Updated Jan 30 • 157k • • 2.32k

black-forest-labs/FLUX.1-Kontext-dev

Image-to-Image • Updated Jan 1 • 120k • • 2.55k

reacted to Abhaykoul's post with 🔥 8 months ago

Post

4672

Introducing Dhanishtha 2.0: World's first Intermediate Thinking Model

Dhanishtha 2.0 is the world's first LLM designed to think between the responses. Unlike other Reasoning LLMs, which think just once.

Dhanishtha can think, rethink, self-evaluate, and refine in between responses using multiple <think> blocks.
This technique makes it Hinghlt Token efficient it Uses up to 79% fewer tokens than DeepSeek R1
---

You can try our model from: https://helpingai.co/chat
Also, we're gonna Open-Source Dhanistha on July 1st.

---
For Devs:
🔑 Get your API key at https://helpingai.co/dashboard

from HelpingAI import HAI  # pip install HelpingAI==1.1.1
from rich import print

hai = HAI(api_key="hl-***********************")

response = hai.chat.completions.create(
    model="Dhanishtha-2.0-preview",
    messages=[{"role": "user", "content": "What is the value of ∫0∞𝑥3/𝑥−1𝑑𝑥 ?"}],
    stream=True,
    hide_think=False # Hide or show models thinking
)

for chunk in response:
    print(chunk.choices[0].delta.content, end="", flush=True)