43
Shyguy's Wingman
💘
Help the Shy Guy finaly talk to Jessica
Mistral AI Game Jam
Enterprise
community
AI & ML interests
None defined yet.
Recent Activity
View all activity
Mistral-AI-Game-Jam's activity
theo-michel
updated
a
Space
5 minutes ago
Post
914
🙋🏻♂️Hey there folks,
Did you know that you can use ModernBERT to detect model hallucinations ?
Check out the Demo : Tonic/hallucination-test
See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard
check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1
and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect
👆🏻if you like this topic please contribute code upstream 🚀
Did you know that you can use ModernBERT to detect model hallucinations ?
Check out the Demo : Tonic/hallucination-test
See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard
check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1
and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect
👆🏻if you like this topic please contribute code upstream 🚀
- 2 replies
Post
609
Powered by
KRLabsOrg/lettucedect-large-modernbert-en-v1 from KRLabsOrg.
Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg](https://huggingface.co/KRLabsOrg)
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.
LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg](https://huggingface.co/KRLabsOrg)
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.
LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Drop Feedback Here :)
10
#1 opened about 1 month ago
by
OrdinaryDev83
Post
2963
A comprehensive matrix for which format should you use.
Read more on my blog post: https://huggingface.co/blog/ngxson/common-ai-model-formats
Read more on my blog post: https://huggingface.co/blog/ngxson/common-ai-model-formats
| Hardware | GGUF | PyTorch | Safetensors | ONNX |
|-----------------|-----------|------------------------|--------------------------|-------|
| CPU | ✅ (best) | 🟡 | 🟡 | ✅ |
| GPU | ✅ | ✅ | ✅ | ✅ |
| Mobile | ✅ | 🟡 (via executorch) | ❌ | ✅ |
| Apple silicon | ✅ | 🟡 | ✅ (via MLX framework) | ✅ |
- 1 reply
ngxson
authored
a
paper
about 1 month ago
Post
2349
🙋🏻♂️hey there folks ,
Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math
give it a try !
Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math
give it a try !
Post
2951
🙋🏻♂️ Hey there folks ,
our team made a game during the @mistral-game-jam and we're trying to win the community award !
try our game out and drop us a ❤️ like basically to vote for us !
Mistral-AI-Game-Jam/TextToSurvive
hope you like it !
our team made a game during the @mistral-game-jam and we're trying to win the community award !
try our game out and drop us a ❤️ like basically to vote for us !
Mistral-AI-Game-Jam/TextToSurvive
hope you like it !
Post
1061
Fun fact: you can get any DeepSeek-R1-Qwen **abliterated** by using one of these LoRA adapters (GGUF available!)
ngxson/extracted-lora-mergekit-677d5c3eea0b6a7661201846
ngxson/extracted-lora-mergekit-677d5c3eea0b6a7661201846
Post
1883
🙋🏻♂️ Hey there folks ,
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Post
3197
Check out my collection of pre-made GGUF LoRA adapters!
This allow you to use both normal + abliterated version of popular models like llama, qwen, etc, without having to double to amount of VRAM usage.
ngxson/gguf_lora_collection
This allow you to use both normal + abliterated version of popular models like llama, qwen, etc, without having to double to amount of VRAM usage.
ngxson/gguf_lora_collection
-
- 5 replies
Post
2455
🙋🏻♂️Hey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group :
Tonic/Lucie-7B hope you like it 🚀
Post
3178
I made this small tool that can be useful for debugging Ollama chat template:
ngxson/ollama_template_test
CC @bartowski you may need this ;-)
CC @bartowski you may need this ;-)
-
- 2 replies
fracapuano
posted
an
update
4 months ago
Post
1067
Sharing what we have built over the course of the weekend at the
@llamameta
hackathon, by Cerebral Valley in London 🇬🇧 👇
@gabrycina @calebgcc and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.
complete list of assets 👇
🤗 trained robotics policies
v1:
- fracapuano/moss-pills
- fracapuano/moss-cup
v2:
- fracapuano/meta-grasp
🤗 datasets
v1:
- fracapuano/pills
- fracapuano/cup
v2:
- fracapuano/cupim
You can find a live demo of our submission at: https://x.com/_fracapuano/status/1858102728691458554
If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using @lerobot and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out 🦾
Our project is fully open-source, for the community (and ourselves, 👨🍳) to build! A huge thank you to @cadene for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to @thomwolf and @clem for sharing our work across
Little extra:
➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
@gabrycina @calebgcc and I competed with 200+ participants and 50+ teams for a 24-hrs sprint centered around hacking for impact! We focused on applications of robotics to those in need of assisted living, moving our focus to enable greater autonomy and accessibility of robotics in everyday life.
complete list of assets 👇
🤗 trained robotics policies
v1:
- fracapuano/moss-pills
- fracapuano/moss-cup
v2:
- fracapuano/meta-grasp
🤗 datasets
v1:
- fracapuano/pills
- fracapuano/cup
v2:
- fracapuano/cupim
You can find a live demo of our submission at: https://x.com/_fracapuano/status/1858102728691458554
If you want to know more about how we collected 100GB+ of data, trained multiple RL-policies using @lerobot and used Llama-3.2 models to handle user interactions and switch between tasks, go ahead and have a look! Also, don't be a stranger, and reach out 🦾
Our project is fully open-source, for the community (and ourselves, 👨🍳) to build! A huge thank you to @cadene for the help (and the robot 🤭) - truly feeling these hugs-vibes 🤗 , and to @thomwolf and @clem for sharing our work across
Little extra:
➡️ Our 🧠EEG waves🧠-based control of the 🦾robotic arm🦾
fracapuano
posted
an
update
4 months ago
Post
601
✍️ the last few weeks has been very intense!
🔴 I have been out all weekends
🔴 Participated in 4 hackathons in a row (2 more to come!)
🔴 Even threw a big hackathon myself!
Nonetheless, I am in school again 🏫, which meant... ✨homework✨
➡️ Head out to here https://x.com/_fracapuano/status/1856415612202799243 to read more about how I used @mistralai models to help me with my assignments (not how you think I did hihi 😏)
➡️ Check outhttps://huggingface.co/spaces/fracapuano/texstral if you want to use the tool yourself!
🔴 I have been out all weekends
🔴 Participated in 4 hackathons in a row (2 more to come!)
🔴 Even threw a big hackathon myself!
Nonetheless, I am in school again 🏫, which meant... ✨homework✨
➡️ Head out to here https://x.com/_fracapuano/status/1856415612202799243 to read more about how I used @mistralai models to help me with my assignments (not how you think I did hihi 😏)
➡️ Check outhttps://huggingface.co/spaces/fracapuano/texstral if you want to use the tool yourself!
Post
3580
🙋🏻♂️hey there folks,
periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal
we have a thread 👉🏻 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 🤗🤗🤗
periodic reminder : if you are experiencing ⚠️500 errors ⚠️ or ⚠️ abnormal
spaces behavior on load or launch ⚠️we have a thread 👉🏻 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 🤗🤗🤗
-
- 2 replies
Post
1183
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.
-
- 1 reply
Post
855
🙋🏻♂️ 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
1475
hey there folks,
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares 🦙🦙
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it 🚀🚀
twitter is aweful isnt it ? just getting into the habbit of using hf/posts for shares 🦙🦙
Tonic/on-device-granite-3.0-1b-a400m-instruct
new granite on device instruct model demo , hope you like it 🚀🚀