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Kolors Character With Flux
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Kolors Character to keep character developed with Flux
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CrappyREincarnation
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reacted to
chansung's
post with π
about 1 month ago
Post
4334
A brief summary of the o3-mini
The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels. While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks. This means workflows should be re-evaluated with each model upgrade.
The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking. It's speculated that the higher versions simply involve more processing. A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism.
The system card is recommended reading due to its comprehensive benchmark data.
https://openai.com/index/openai-o3-mini/
The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels. While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks. This means workflows should be re-evaluated with each model upgrade.
The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking. It's speculated that the higher versions simply involve more processing. A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism.
The system card is recommended reading due to its comprehensive benchmark data.
https://openai.com/index/openai-o3-mini/
reacted to
kristaller486's
post with π
about 1 month ago
Post
1393
Nebo-T1-Russian
(Probably) the first "longCoT" dataset for the Russian language created via Deeseek-R1.
- Prompts taken from the Sky-T1 dataset and translated via Llama3.3-70B.
- Answers and reasoning generated by Deepseek-R1 (685B).
- 16.4K samples in total, β12.4K Russian-only (in the rest, either the answer or reasoning is in English).
- Languages in the answers and reasoning are labeled using fasttext.
kristaller486/Nebo-T1-Russian
(Probably) the first "longCoT" dataset for the Russian language created via Deeseek-R1.
- Prompts taken from the Sky-T1 dataset and translated via Llama3.3-70B.
- Answers and reasoning generated by Deepseek-R1 (685B).
- 16.4K samples in total, β12.4K Russian-only (in the rest, either the answer or reasoning is in English).
- Languages in the answers and reasoning are labeled using fasttext.
kristaller486/Nebo-T1-Russian
reacted to
nicolay-r's
post with π₯
about 1 month ago
Post
1621
π’ The LLaMA-3.1-8B distilled 8B version of the R1 DeepSeek AI is available besides the one based on Qwen
π Notebook for using it in reasoning over series of data π§ :
https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_llama3.ipynb
Loading using the pipeline API of the transformers library:
https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/transformers_llama.py
π‘ GPU Usage: 12.3 GB (FP16/FP32 mode) which is suitable for T4. (a 1.5 GB less than Qwen-distilled version)
π Perfomance: T4 instance: ~0.19 tokens/sec (FP32 mode) and (FP16 mode) ~0.22-0.30 tokens/sec. Is it should be that slow? π€
Model name: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
β Framework: https://github.com/nicolay-r/bulk-chain
π Notebooks and models hub: https://github.com/nicolay-r/nlp-thirdgate
π Notebook for using it in reasoning over series of data π§ :
https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_llama3.ipynb
Loading using the pipeline API of the transformers library:
https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/transformers_llama.py
π‘ GPU Usage: 12.3 GB (FP16/FP32 mode) which is suitable for T4. (a 1.5 GB less than Qwen-distilled version)
π Perfomance: T4 instance: ~0.19 tokens/sec (FP32 mode) and (FP16 mode) ~0.22-0.30 tokens/sec. Is it should be that slow? π€
Model name: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
β Framework: https://github.com/nicolay-r/bulk-chain
π Notebooks and models hub: https://github.com/nicolay-r/nlp-thirdgate
reacted to
fffiloni's
post with π
about 1 month ago
Post
3499
Explain like i'm 5 the last take from
@thomwolf
on X about Dario's essay on DeepSeek:
ββΊ Open-source AI is like a big cookbook that everyone can read and improve. Instead of a few chefs keeping their recipes secret, anyone can cook, test, and invent new things.
If only one company controls AI, everything stops if they have a problemβlike when the internet goes down. With open-source, many people can help, making sure it keeps running smoothly.
AI isnβt just a race between two countries; itβs a team effort around the world. By sharing, we move faster and create safer technology for everyone.
β
π€
ββΊ Open-source AI is like a big cookbook that everyone can read and improve. Instead of a few chefs keeping their recipes secret, anyone can cook, test, and invent new things.
If only one company controls AI, everything stops if they have a problemβlike when the internet goes down. With open-source, many people can help, making sure it keeps running smoothly.
AI isnβt just a race between two countries; itβs a team effort around the world. By sharing, we move faster and create safer technology for everyone.
β
π€
reacted to
luigi12345's
post with π₯
about 1 month ago
Post
1947
π OpenAI o3-mini Just Dropped β Hereβs What You Need to Know!
OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. Itβs better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.
π₯ Why does this matter?
β Stronger in logic, coding, and structured reasoning
β Function calling now works reliably for API responses
β More stable & efficient for production tasks
β Faster responses with better accuracy
β οΈ Who should use it?
βοΈ Great for coding, API calls, and structured Q&A
β Not meant for long conversations or complex reasoning (GPT-4 is better)
π‘ Free users: Try it under βReasonβ mode in ChatGPT
π‘ Plus/Team users: Daily message limit tripled to 150/day!
OpenAI just launched o3-mini, a faster, smarter upgrade over o1-mini. Itβs better at math, coding, and logic, making it more reliable for structured tasks. Now available in ChatGPT & API, with function calling, structured outputs, and system messages.
π₯ Why does this matter?
β Stronger in logic, coding, and structured reasoning
β Function calling now works reliably for API responses
β More stable & efficient for production tasks
β Faster responses with better accuracy
β οΈ Who should use it?
βοΈ Great for coding, API calls, and structured Q&A
β Not meant for long conversations or complex reasoning (GPT-4 is better)
π‘ Free users: Try it under βReasonβ mode in ChatGPT
π‘ Plus/Team users: Daily message limit tripled to 150/day!
- 2 replies
reacted to
merve's
post with π
about 1 month ago
Post
3868
This week in open AI was π₯ Let's recap! π€
merve/january-31-releases-679a10669bd4030090c5de4d
LLMs π¬
> Huge: AllenAI released new TΓΌlu models that outperform DeepSeek R1 using Reinforcement Learning with Verifiable Reward (RLVR) based on Llama 3.1 405B π₯
> Mistral AI is back to open-source with their "small" 24B models (base & SFT), with Apache 2.0 license π±
> Alibaba Qwen released their 1M context length models Qwen2.5-Instruct-1M, great for agentic use with Apache 2.0 license π₯
> Arcee AI released Virtuoso-medium, 32.8B LLMs distilled from DeepSeek V3 with dataset of 5B+ tokens
> Velvet-14B is a new family of 14B Italian LLMs trained on 10T tokens in six languages
> OpenThinker-7B is fine-tuned version of Qwen2.5-7B-Instruct on OpenThoughts dataset
VLMs & vision π
> Alibaba Qwen is back with Qwen2.5VL, amazing new capabilities ranging from agentic computer use to zero-shot localization π₯
> NVIDIA released new series of Eagle2 models with 1B and 9B sizes
> DeepSeek released Janus-Pro, new any-to-any model (image-text generation from image-text input) with MIT license
> BEN2 is a new background removal model with MIT license!
Audio π£οΈ
> YuE is a new open-source music generation foundation model, lyrics-to-song generation
Codebase π©π»βπ»
> We are open-sourcing our SmolVLM training and eval codebase! https://github.com/huggingface/smollm/tree/main/vision
> Open-R1 is open-source reproduction of R1 by @huggingface science team https://huggingface.co./blog/open-r1
LLMs π¬
> Huge: AllenAI released new TΓΌlu models that outperform DeepSeek R1 using Reinforcement Learning with Verifiable Reward (RLVR) based on Llama 3.1 405B π₯
> Mistral AI is back to open-source with their "small" 24B models (base & SFT), with Apache 2.0 license π±
> Alibaba Qwen released their 1M context length models Qwen2.5-Instruct-1M, great for agentic use with Apache 2.0 license π₯
> Arcee AI released Virtuoso-medium, 32.8B LLMs distilled from DeepSeek V3 with dataset of 5B+ tokens
> Velvet-14B is a new family of 14B Italian LLMs trained on 10T tokens in six languages
> OpenThinker-7B is fine-tuned version of Qwen2.5-7B-Instruct on OpenThoughts dataset
VLMs & vision π
> Alibaba Qwen is back with Qwen2.5VL, amazing new capabilities ranging from agentic computer use to zero-shot localization π₯
> NVIDIA released new series of Eagle2 models with 1B and 9B sizes
> DeepSeek released Janus-Pro, new any-to-any model (image-text generation from image-text input) with MIT license
> BEN2 is a new background removal model with MIT license!
Audio π£οΈ
> YuE is a new open-source music generation foundation model, lyrics-to-song generation
Codebase π©π»βπ»
> We are open-sourcing our SmolVLM training and eval codebase! https://github.com/huggingface/smollm/tree/main/vision
> Open-R1 is open-source reproduction of R1 by @huggingface science team https://huggingface.co./blog/open-r1
-
- 1 reply
reacted to
jasoncorkill's
post with π
about 1 month ago
Post
2681
We benchmarked
@xai-org
's Aurora model, as far as we know the first public evaluation of the model at scale.
We collected 401k human annotations in over the past ~2 days for this, we have uploaded all of the annotation data here on huggingface with a fully permissive license
Rapidata/xAI_Aurora_t2i_human_preferences
We collected 401k human annotations in over the past ~2 days for this, we have uploaded all of the annotation data here on huggingface with a fully permissive license
Rapidata/xAI_Aurora_t2i_human_preferences
liked
7
Spaces
about 1 month ago
68
Musicgen Songstarter Demo
π
Generate music using descriptions and optional melody audio
9
Mistral Ultimate Chords And Lyrics Writer
π
Chat with Mistral-7B-Instruct for music lyrics and chords
3
Lyrics Translator
π΅
Translate song lyrics into different languages
13
Gender Age Detector
π©
Human Gender Age Detector
11
Music Vision
π΅
Audio Visualization Circle Effect Tool
9
Figured Bass Calculator
π΅
figured bass calculator
9
Parser163
π΅
NetEase Cloud Music MP3 Direct URL Parser
reacted to
fdaudens's
post with π₯
about 1 month ago
Post
3390
π― Kokoro TTS just hit v1.0! π
Small but mighty: 82M parameters, runs locally, speaks multiple languages. The best part? It's Apache 2.0 licensed!
This could unlock so many possibilities β¨
Check it out: hexgrad/Kokoro-82M
Small but mighty: 82M parameters, runs locally, speaks multiple languages. The best part? It's Apache 2.0 licensed!
This could unlock so many possibilities β¨
Check it out: hexgrad/Kokoro-82M
- 1 reply
liked
a
Space
about 1 month ago