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Community of researchers interested in OpenBuddy Early Access. Please note that this is not an official group for OpenBuddy, and the members have no affiliation with the OpenBuddy team. Every independent researchers can apply to join by submitting a Form available in our GitHub.

posted an update 29 days ago

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2864

SPECK 2 IS ALREADY OUT: specklabs/Speck2-140M

Pretrained on 4x more tokens than the previous releases (20b vs 5b).
Instruct tuned versions are coming soon.
Very interesting models are coming soon too (hint: super long context).

Thanks for everyone supporting!

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posted an update about 1 month ago

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SPECK1.5 IS COMING SOON!
Same 5B token budget but much better corpus quality.

Also getting a ton of downloads, thanks for everyone downloading and liking <3

posted an update about 1 month ago

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NEW SPECK UPDATES:

Just hit #14 and #15 with out FIRST models on Open SLM Leaderboard. The models were trained on 5B tokens, while competing with similarly sized models trained on more than 6-20x the data.

A new base model Speck1.5-140M being trained right now on a higher quality corpus and will be released soon.
SpeckChat3 is coming very soon with 1 million samples, specifically designed to post train small base models.

Also, just to clarify stuff, we will NOT release anything that is NOT MIT licensed EVER. Openness is needed in small language research.

Thanks to everyone supporting the project, and stay tuned for new releases!

posted an update about 1 month ago

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1886

SPECK UPDATES:
1 New instruct model tuned on top of Speck1-140M: specklabs/Speck1-140M-Instruct
2 Instruction tuning datasets
2 GGUFs

Much more coming soon:
Speck1.1-140M-Instruct that is post trained on SpeckChat2 will be coming very soon
New base model Speck1.5-140M is coming with a much higher quality corpus

Thanks to everyone who is already supporting the project, and stay tuned for new releases!

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posted an update about 1 month ago

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FIRST SPECK MODEL RELEASED:
specklabs/Speck1-140M

new models coming very soon (both instruct and much better models), with much much higher training scale as i am getting marenostrum5 access soon!
we will be looking at 100b-2t token budgets :)

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posted an update 8 months ago

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Introducing Rain-v2: Democratizing LLM training on gaming GPUs! ⚡

Following Rain-100M, we’re scaling up. Rain-v2 features a larger training dataset.

We’ve published a comprehensive blog covering the end-to-end journey—from raw data collection to rigorous evaluation and safety testing.

HF Repo: 🤗 raincandy-u/Rain-v2

Blog: 📚
https://angelkawaii.xyz/2026/01/29/rain-v2/

Special thanks to the open-source community and the SmolLM2 team for their foundational work! 🚀

HuggingFaceTB
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model (2502.02737)

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posted an update 8 months ago

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🤗 Just released Rain-100M, an experimental ~97M-parameter Qwen3-style language model trained from random initialization.

Repo: raincandy-u/Rain-100M

Data: HuggingFaceFW/fineweb-edu, ~3B tokens, English only

Tokenizer: custom 16k BPE, context length 4096

Architecture: 12 Transformer layers, hidden size 768, 12 heads, MLP 2048, SiLU, bf16

Rain-100M is a raw base model (not instruction-tuned or safety-aligned), aimed at small-scale research, debugging training pipelines, and CPU/edge experiments. If you run evaluations, finetunes, or visualizations with it, I would be very interested in your results!

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posted an update about 1 year ago

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Qwen 3 Coder is a personal attack to k2, and I love it.
It achieves near SOTA on LCB while not having reasoning.
Finally people are understanding that reasoning isnt necessary for high benches...

Qwen ftw!

DECENTRALIZE DECENTRALIZE DECENTRALIZE

posted an update over 1 year ago

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deepseek-ai/DeepSeek-R1-0528

This is the end

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posted an update over 1 year ago

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Llama 4 is out...

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posted an update over 1 year ago

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There seems to multiple paid apps shared here that are based on models on hf, but some ppl sell their wrappers as "products" and promote them here. For a long time, hf was the best and only platform to do oss model stuff but with the recent AI website builders anyone can create a product (really crappy ones btw) and try to sell it with no contribution to oss stuff. Please dont do this, or try finetuning the models you use...
Sorry for filling yall feed with this bs but yk...

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posted an update over 1 year ago

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Gemma 3 seems to be really good at human preference. Just waiting for ppl to see it.

posted an update over 1 year ago

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@nroggendorff is that you sama?

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authored a paper over 1 year ago

Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation

Paper • 2411.18335 • Published Nov 27, 2024 • 3

posted an update over 1 year ago

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everywhere i go i see his face

posted an update over 1 year ago

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Deepseek gang on fire fr fr

posted an update over 1 year ago

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R1 is out! And with a lot of other R1 releated models...

posted an update almost 2 years ago

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@s3nh Hey man check your discord! Got some news.

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posted an update about 2 years ago

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Use GPT-4, GPT-4 Turbo Preview, GPT-3.5 Turbo, BingAI, and other models. The interface is similar to ChatGPT, with a speedy API endpoint.

https://huggingface.co/spaces/NiansuhAI/Copilot

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posted an update over 2 years ago

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Use GPT-4o + GPT-4-Turbo-Preview + GPT-3.5-Turbo + BingAI

https://huggingface.co/spaces/NiansuhAI/Copilot

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