Jack Voide

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liked 6 models about 7 hours ago

kyutai/pocket-tts

Updated 2 days ago • 18.9k • 247

google/t5gemma-2-4b-4b

Image-Text-to-Text • 9B • Updated 30 days ago • 11.8k • 136

enuma-elis/gemma_all_01

Image-to-Text • 8B • Updated Aug 27, 2025 • 1 • 1

LiquidAI/LFM2-2.6B-Transcript

Text Generation • 3B • Updated 9 days ago • 666 • 145

tencent/Hunyuan-MT-Chimera-7B

Translation • 8B • Updated Sep 9, 2025 • 1.14k • 89

huihui-ai/Huihui-Hunyuan-MT-Chimera-7B-abliterated

Translation • 8B • Updated Sep 4, 2025 • 116 • 6

liked a model about 8 hours ago

iitolstykh/VIBE-Image-Edit

Image-to-Image • Updated 3 days ago • 125 • 36

liked a model 3 days ago

ValiantLabs/Qwen3-32B-Guardpoint

Text Generation • 33B • Updated 3 days ago • 17 • 5

liked 3 models 5 days ago

NousResearch/Hermes-4.3-36B

Text Generation • 36B • Updated Dec 6, 2025 • 1.26k • 113

cerebras/GLM-4.7-REAP-218B-A32B

Text Generation • 218B • Updated 5 days ago • 2.32k • 20

Maincode/Maincoder-1B

Text Generation • 1B • Updated 12 days ago • 1.81k • 85

liked a Space 8 days ago

Running on Zero

MCP

1.53k

Z Image Turbo

🖼

1.53k

Generate stunning images from text descriptions in seconds

liked a model 10 days ago

miromind-ai/MiroThinker-v1.5-30B

Text Generation • 31B • Updated 1 day ago • 4.56k • 211

liked 2 models 12 days ago

huihui-ai/Huihui-LFM2-2.6B-Exp-abliterated

Text Generation • 3B • Updated 20 days ago • 136 • 4

nvidia/Qwen2.5-CascadeRL-RM-72B

Text Generation • 71B • Updated 16 days ago • 113 • 11

liked a model 15 days ago

IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct

Text Generation • 40B • Updated 10 days ago • 42.4k • 312

liked a model 18 days ago

tencent/WeDLM-8B-Instruct

Text Generation • 8B • Updated 16 days ago • 4.88k • 304

upvoted a paper 20 days ago

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19, 2025 • 130

liked a model 20 days ago

mradermacher/Huihui-LFM2-2.6B-Exp-abliterated-GGUF

3B • Updated 20 days ago • 786 • 1

reacted to codelion's post with 👍 22 days ago

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Post

6005

Introducing Dhara-70M: A diffusion language model that achieves 3.8x higher throughput than autoregressive models!

Key findings from our research on optimal architectures for small language models:

→ Depth beats width: 32 layers outperforms 12 layers at the same parameter count
→ Best-in-class factuality: 47.5% on TruthfulQA
→ 10x training efficiency using WSD (Warmup-Stable-Decay) conversion
→ Canon layers add only 0.13% parameters but improve reasoning

We trained on 1B tokens using the optimal 50-30-20 dataset mix (PDFs + filtered web + educational content), then converted to diffusion with just 100M additional tokens.

Blog: https://huggingface.co/blog/codelion/optimal-model-architecture
Model: codelion/dhara-70m

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