reducto/RolmOCR
Image-Text-to-Text
•
Updated
•
3.15k
•
298
Joseph
Joseph717171
AI & ML interests
None yet
Recent Activity
View all activity
Organizations
Joseph717171's activity
Permission to access the Unquantized versions of the QAT weights for Gemma-3
4
#4 opened 4 days ago
by
Joseph717171
liked
a
model
2 days ago
updated
a
model
2 days ago
liked
a
model
2 days ago
liked
a
dataset
2 days ago
liked
4
models
2 days ago
agentica-org/DeepCoder-14B-Preview
Text Generation
•
Updated
•
3.35k
•
321
deepcogito/cogito-v1-preview-qwen-32B
Text Generation
•
Updated
•
978
•
57
deepcogito/cogito-v1-preview-qwen-14B
Text Generation
•
Updated
•
1.34k
•
54
deepcogito/cogito-v1-preview-llama-8B
Text Generation
•
Updated
•
607
•
32
liked
a
model
3 days ago
liked
a
model
4 days ago
reacted to
merterbak's
post with 🤗🔥
4 days ago
Post
2908
Meta has unveiled its Llama 4 🦙 family of models, featuring native multimodality and mixture-of-experts architecture. Two model families are available now:
Models🤗: meta-llama/llama-4-67f0c30d9fe03840bc9d0164
Blog Post: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
HF's Blog Post: https://huggingface.co/blog/llama4-release
- 🧠 Native Multimodality - Process text and images in a unified architecture
- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
- 📏 Super Long Context - Up to 10M tokens
- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
🔹 Llama 4 Scout
- 17B active parameters (109B total)
- 16 experts architecture
- 10M context window
- Fits on a single H100 GPU
- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
🔹 Llama 4 Maverick
- 17B active parameters (400B total)
- 128 experts architecture
- It can fit perfectly on DGX H100(8x H100)
- 1M context window
- Outperforms GPT-4o and Gemini 2.0 Flash
- ELO score of 1417 on LMArena currently second best model on arena
🔹 Llama 4 Behemoth (Coming Soon)
- 288B active parameters (2T total)
- 16 experts architecture
- Teacher model for Scout and Maverick
- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
Models🤗: meta-llama/llama-4-67f0c30d9fe03840bc9d0164
Blog Post: https://ai.meta.com/blog/llama-4-multimodal-intelligence/
HF's Blog Post: https://huggingface.co/blog/llama4-release
- 🧠 Native Multimodality - Process text and images in a unified architecture
- 🔍 Mixture-of-Experts - First Llama models using MoE for incredible efficiency
- 📏 Super Long Context - Up to 10M tokens
- 🌐 Multilingual Power - Trained on 200 languages with 10x more multilingual tokens than Llama 3 (including over 100 languages with over 1 billion tokens each)
🔹 Llama 4 Scout
- 17B active parameters (109B total)
- 16 experts architecture
- 10M context window
- Fits on a single H100 GPU
- Beats Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1
🔹 Llama 4 Maverick
- 17B active parameters (400B total)
- 128 experts architecture
- It can fit perfectly on DGX H100(8x H100)
- 1M context window
- Outperforms GPT-4o and Gemini 2.0 Flash
- ELO score of 1417 on LMArena currently second best model on arena
🔹 Llama 4 Behemoth (Coming Soon)
- 288B active parameters (2T total)
- 16 experts architecture
- Teacher model for Scout and Maverick
- Outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks
liked
2
models
4 days ago
[MODELS] Discussion
711
#372 opened about 1 year ago
by
victor
liked
2
models
5 days ago
liked
a
model
6 days ago
liked
a
model
10 days ago
