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TonicΒ 
posted an update about 2 months ago
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3386
πŸ™‹πŸ»β€β™‚οΈhey there folks,

periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal spaces behavior on load or launch ⚠️

we have a thread πŸ‘‰πŸ» https://discord.com/channels/879548962464493619/1295847667515129877

if you can record the problem and share it there , or on the forums in your own post , please dont be shy because i'm not sure but i do think it helps πŸ€—πŸ€—πŸ€—
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TonicΒ 
posted an update about 2 months ago
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1083
boomers still pick zenodo.org instead of huggingface ??? absolutely clownish nonsense , my random datasets have 30x more downloads and views than front page zenodos ... gonna write a comparison blog , but yeah... cringe.
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TonicΒ 
posted an update 2 months ago
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817
πŸ™‹πŸ»β€β™‚οΈ hey there folks ,

really enjoying sharing cool genomics and protein datasets on the hub these days , check out our cool new org : https://huggingface.co./seq-to-pheno

scroll down for the datasets, still figuring out how to optimize for discoverability , i do think on that part it will be better than zenodo[dot}org , it would be nice to write a tutorial about that and compare : we already have more downloads than most zenodo datasets from famous researchers !
TonicΒ 
posted an update 2 months ago
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1446
hey there folks,

twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares πŸ¦™πŸ¦™

Tonic/on-device-granite-3.0-1b-a400m-instruct

new granite on device instruct model demo , hope you like it πŸš€πŸš€
TonicΒ 
posted an update 2 months ago
TonicΒ 
posted an update 3 months ago
TonicΒ 
posted an update 3 months ago
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1853
πŸ™‹πŸ»β€β™‚οΈ Hey there folks ,

🦎Salamandra release by @mvillegas and team
@BSC_CNS https://huggingface.co./BSC-LT is absolutely impressive so far !

perhaps the largest single training dataset of high quality text to date of 7.8 trillion tokens in 35 European languages and code.

the best part : the data was correctly licenced so it's actually future-proof!

the completions model is really creative and instruct fine tuned version is very good also.

now you can use such models for multi-lingual enterprise applications with further finetunes , long response generation, structured outputs (coding) also works.

check out πŸ‘‡πŸ»
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
TonicΒ 
posted an update 3 months ago
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1719
@mlabonne hey there πŸ™‹πŸ»β€β™‚οΈ I kinda got obsessed with your great model , and i found the endpoint for it in lambda labs, but basically i got rate limited / banned for trying to make my DPO dataset project, i was wondering if you all had an open ai compatible solution for me to make a great "thinking" sft + dpo dataset with all the splits πŸ™πŸ»πŸ™πŸ» kinda desparate , it's true , but was looking forward to a nice write ups πŸš€πŸš€πŸš€
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TonicΒ 
posted an update 3 months ago
TonicΒ 
posted an update 3 months ago
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1240
πŸ™‹πŸ»β€β™‚οΈ Hey there folks,

stepfun-ai/GOT-OCR2_0 is in top trending and spaces of the week for the second week straight !!

This is madness 😱

πŸš€πŸš€check out my demo here : Tonic/GOT-OCR
TonicΒ 
posted an update 3 months ago
TonicΒ 
posted an update 3 months ago
TonicΒ 
posted an update 3 months ago
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1105
πŸ™‹πŸ»β€β™‚οΈ hey there folks ,

made an image similarity demo to test out the mistral-community/pixtral-12b-240910 model .

If anyone knows how to generate captions with it , please do let me know x πŸš€

here's the demo : Tonic/Pixtral

hope you like it πŸ€—
TonicΒ 
posted an update 4 months ago
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2660
So awesome , now i can deploy a jupyterlab on huggingface and deploy gradio from the jupyterlab
TonicΒ 
posted an update 4 months ago
TonicΒ 
posted an update 4 months ago
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2525
πŸ™‹πŸ»β€β™‚οΈhey there folks ,

βœ’οΈInkubaLM has been trained from scratch using 1.9 billion tokens of data for five African languages, along with English and French data, totaling 2.4 billion tokens of data. It is capable of understanding and generating content in five African languages: Swahili, Yoruba, Hausa, isiZulu, and isiXhosa, as well as English and French.

model lelapa/InkubaLM-0.4B
demo Tonic/Inkuba-0.4B
TonicΒ 
posted an update 4 months ago
TonicΒ 
posted an update 5 months ago
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734
πŸ™‹πŸ»β€β™‚οΈHey there folks ,

I found this cool (new?) thing by Docker called Testcontainers , and there's an @ollama object that you can use to programmatically serve ephemeral containers and LLMs.

I made a post about it here : https://huggingface.co./blog/Tonic/localai-testcontainers

It's really useful, powerful and fun !

Demo coming soon πŸ€—
TonicΒ 
posted an update 5 months ago
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1716
πŸ™‹πŸ»β€β™‚οΈ Hey there folks

made a demo for Nvidia Minitron on an A100.

Minitron is a family of small language models (SLMs) obtained by pruning NVIDIA's Nemotron-4 15B model. We prune model embedding size, attention heads, and MLP intermediate dimension, following which, we perform continued training with distillation to arrive at the final models.

Deriving the Minitron 8B and 4B models from the base 15B model using our approach requires up to 40x fewer training tokens per model compared to training from scratch; this results in compute cost savings of 1.8x for training the full model family (15B, 8B, and 4B). Minitron models exhibit up to a 16% improvement in MMLU scores compared to training from scratch, perform comparably to other community models such as Mistral 7B, Gemma 7B and Llama-3 8B, and outperform state-of-the-art compression techniques from the literature. Please refer to our arXiv paper for more details.

Minitron models are for research and development only.

source : nvidia/Minitron-8B-Base
demo : Tonic/Minitron
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TonicΒ 
posted an update 5 months ago