Maya: An Instruction Finetuned Multilingual Multimodal Model
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2412.07112
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1491
kinam0252ย
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23 days ago
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3391
๐๐ปโโ๏ธhey there folks,
periodic reminder : if you are experiencing โ ๏ธ500 errors โ ๏ธ or โ ๏ธ abnormal
we have a thread ๐๐ป 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 ๐ค๐ค๐ค
periodic reminder : if you are experiencing โ ๏ธ500 errors โ ๏ธ or โ ๏ธ abnormal
spaces behavior on load or launch โ ๏ธwe have a thread ๐๐ป 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 ๐ค๐ค๐ค
- 2 replies
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1088
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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- 1 reply
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817
๐๐ปโโ๏ธ 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 !
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 !
Post
1446
hey there folks,
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares ๐ฆ๐ฆ
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it ๐๐
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares ๐ฆ๐ฆ
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it ๐๐
Post
984
if you're encountering 500 errors on spaces that seem to work otherwise , kindly consider screenshotting and sharing the link here : https://discord.com/channels/879548962464493619/1295847667515129877
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- 7 replies
Post
2736
๐๐ปโโ๏ธhey there folks ,
did you know that https://huggingface.co./lmms-lab released a new version of ๐๐Llava on thursday ? Now it has ๐ฅvideo understanding !
check it out ๐๐ป
collection : lmms-lab/llava-video-661e86f5e8dabc3ff793c944
demo : Tonic/Llava-Video
did you know that https://huggingface.co./lmms-lab released a new version of ๐๐Llava on thursday ? Now it has ๐ฅvideo understanding !
check it out ๐๐ป
collection : lmms-lab/llava-video-661e86f5e8dabc3ff793c944
demo : Tonic/Llava-Video
Post
1853
๐๐ปโโ๏ธ Hey there folks ,
๐ฆSalamandra 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 ๐๐ป
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
๐ฆSalamandra 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 ๐๐ป
the collection : BSC-LT/salamandra-66fc171485944df79469043a
the repo : https://github.com/langtech-bsc/salamandra
7B-Instruct demo : Tonic/Salamandra-7B
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1719
@mlabonne
hey there ๐๐ปโโ๏ธ 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 ๐๐ป๐๐ป kinda desparate , it's true , but was looking forward to a nice write ups ๐๐๐
- 1 reply
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2305
Big Congrats on the BIG RELEASE by
@mlabonne
and team at https://huggingface.co./liquidai ...
testing it out now to make a dataset , i cant hardly wait... but one question ๐๐ป why / wen ? ๐ ๐๐
check out the blog post : https://www.liquid.ai/liquid-foundation-models
testing it out now to make a dataset , i cant hardly wait... but one question ๐๐ป why / wen ? ๐ ๐๐
check out the blog post : https://www.liquid.ai/liquid-foundation-models
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- 1 reply
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1240
๐๐ปโโ๏ธ 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 ๐ฑ
๐๐check out my demo here : Tonic/GOT-OCR
stepfun-ai/GOT-OCR2_0 is in top trending and spaces of the week for the second week straight !!
This is madness ๐ฑ
๐๐check out my demo here : Tonic/GOT-OCR
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1088
๐๐ปโโ๏ธHey there folks,
Nvidia just released a small 4B Nemotron-mini model , and it works surprisingly well !
you can check it out here :
base : nvidia/Minitron-4B-Base
instruct : nvidia/Nemotron-Mini-4B-Instruct
demo : https://huggingface.co./spaces/Tonic/Nemotron-Mini-4B
hoep you like it ๐ค๐ค
Nvidia just released a small 4B Nemotron-mini model , and it works surprisingly well !
you can check it out here :
base : nvidia/Minitron-4B-Base
instruct : nvidia/Nemotron-Mini-4B-Instruct
demo : https://huggingface.co./spaces/Tonic/Nemotron-Mini-4B
hoep you like it ๐ค๐ค
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2727
๐๐ปโโ๏ธHey there folks ,
@ucaslcl released a new OCR model , that's๐๐ป๐๐ป fantastic : https://huggingface.co./ucaslcl/GOT-OCR2_0
GPU : Tonic/GOT-OCR
Gradio Demo (Image Edit) : Tonic1/ImageEdit-GOT-OCR
Model : https://huggingface.co./ucaslcl/GOT-OCR2_0
Official demo : https://huggingface.co./spaces/ucaslcl/GOT_online
github : https://github.com/Ucas-HaoranWei/GOT-OCR2.0
@ucaslcl released a new OCR model , that's๐๐ป๐๐ป fantastic : https://huggingface.co./ucaslcl/GOT-OCR2_0
GPU : Tonic/GOT-OCR
Gradio Demo (Image Edit) : Tonic1/ImageEdit-GOT-OCR
Model : https://huggingface.co./ucaslcl/GOT-OCR2_0
Official demo : https://huggingface.co./spaces/ucaslcl/GOT_online
github : https://github.com/Ucas-HaoranWei/GOT-OCR2.0
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- 4 replies
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1105
๐๐ปโโ๏ธ 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 ๐
here's the demo : Tonic/Pixtral
hope you like it ๐ค
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 ๐
here's the demo : Tonic/Pixtral
hope you like it ๐ค
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2660
So awesome , now i can deploy a jupyterlab on huggingface and deploy gradio from the jupyterlab
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1089
๐๐ปโโ๏ธHey there folks,
Did you see the new coding model from @01-ai ?
collection : 01-ai/yi-coder-66bdb00f5bdd611f9a008f30
demo : Tonic/Yi-Coder-9B
achieves SOTA on benchmarks , 125K context window , 55 languages including Docker, Js and many more ๐
Did you see the new coding model from @01-ai ?
collection : 01-ai/yi-coder-66bdb00f5bdd611f9a008f30
demo : Tonic/Yi-Coder-9B
achieves SOTA on benchmarks , 125K context window , 55 languages including Docker, Js and many more ๐
- 1 reply
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2525
๐๐ปโโ๏ธhey there folks ,
โ๏ธInkubaLM 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
โ๏ธInkubaLM 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