fancyfeast/llama-joycaption-beta-one-hf-llava
Image-Text-to-Text
•
Updated
•
2.54k
•
42
Mike Ehrmantraut
AUsername111
AI & ML interests
None yet
Recent Activity
new activity
1 day ago
fancyfeast/llama-joycaption-beta-one-hf-llava:GGUF?
liked
a model
1 day ago
fancyfeast/llama-joycaption-beta-one-hf-llava
liked
a dataset
1 day ago
fancyfeast/joy-captioning-20250328b
Organizations
None yet
AUsername111's activity
GGUF?
8
#2 opened 2 days ago
by
Alastar-Smith
liked
a
model
1 day ago
liked
a
dataset
1 day ago
liked
a
Space
1 day ago
liked
2
models
3 days ago
liked
3
models
4 days ago
liked
a
dataset
4 days ago
liked
a
model
5 days ago
liked
2
models
8 days ago
liked
3
models
9 days ago
reacted to
linoyts's
post with 👍
9 days ago
Post
2593
FramePack is hands down one of the best OS releases in video generation 🙇🏻♀️🤯
✅ fully open sourced + amazing quality + reduced memory + improved speed
but more even - its gonna facilitate *soooo* many downstream applications
like this version adapted for landscape rotation 👇https://huggingface.co/spaces/tori29umai/FramePack_rotate_landscape
✅ fully open sourced + amazing quality + reduced memory + improved speed
but more even - its gonna facilitate *soooo* many downstream applications
like this version adapted for landscape rotation 👇https://huggingface.co/spaces/tori29umai/FramePack_rotate_landscape
- 2 replies
liked
a
Space
10 days ago
reacted to
ginipick's
post with 🔥
10 days ago
Post
5109
🔮 Mistral Perflexity AI - Local LLM Space with Web Search Capabilities 🌐
Hello AI enthusiasts! Today I'm excited to introduce my special Hugging Face space! 🚀
ginigen/Mistral-Perflexity
✨ Key Features
Powerful Model: Using Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503, optimized through 6-bit quantization to run smoothly on local 4090 GPUs! 💪
Web Search Integration: Leveraging the Brave Search API to provide real-time web search results for user queries! 🔍
Customizable Responses: Shape AI personality and response format through system messages ⚙️
Multilingual Support: Perfect handling of both English and Korean! 🇺🇸🇰🇷
🛠️ Technical Highlights
GGUF Format: Optimized quantized model with excellent memory efficiency
Flash Attention: Applied optimization technology for faster inference speeds
8K Context Window: Capable of handling lengthy conversations and complex queries
Streaming Responses: Watch text being generated in real-time
💡 Use Cases
Complex Q&A requiring real-time information
Programming assistance and code generation
Multilingual content creation and translation
Summarization and explanation of learning materials
🔧 Customization
Adjust various parameters like Temperature, Top-p, Top-k, and repetition penalty to control response creativity and accuracy. Lower temperature (0.1-0.5) produces more deterministic responses, while higher values (0.7-1.0) generate more creative outputs!
🌟 Try It Yourself!
This space is available for anyone to use for free. Experience the power of a robust local LLM combined with web search capabilities! Your feedback is always welcome! 😊
Hello AI enthusiasts! Today I'm excited to introduce my special Hugging Face space! 🚀
ginigen/Mistral-Perflexity
✨ Key Features
Powerful Model: Using Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503, optimized through 6-bit quantization to run smoothly on local 4090 GPUs! 💪
Web Search Integration: Leveraging the Brave Search API to provide real-time web search results for user queries! 🔍
Customizable Responses: Shape AI personality and response format through system messages ⚙️
Multilingual Support: Perfect handling of both English and Korean! 🇺🇸🇰🇷
🛠️ Technical Highlights
GGUF Format: Optimized quantized model with excellent memory efficiency
Flash Attention: Applied optimization technology for faster inference speeds
8K Context Window: Capable of handling lengthy conversations and complex queries
Streaming Responses: Watch text being generated in real-time
💡 Use Cases
Complex Q&A requiring real-time information
Programming assistance and code generation
Multilingual content creation and translation
Summarization and explanation of learning materials
🔧 Customization
Adjust various parameters like Temperature, Top-p, Top-k, and repetition penalty to control response creativity and accuracy. Lower temperature (0.1-0.5) produces more deterministic responses, while higher values (0.7-1.0) generate more creative outputs!
🌟 Try It Yourself!
This space is available for anyone to use for free. Experience the power of a robust local LLM combined with web search capabilities! Your feedback is always welcome! 😊
liked
a
model
12 days ago
