Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed
Text Generation ā¢ 5B ā¢ Updated ā¢ 989 ā¢ 4
Frank Denis PRO
jedisct1
AI & ML interests
Cryptography.
Recent Activity
liked a model about 18 hours ago
Youssofal/Qwen3.6-27B-MTPLX-Optimized-Speed liked a model 1 day ago
HuggingFaceTB/nanowhale-100m updated a Space 1 day ago
jedisct1/swival-playgroundOrganizations
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reacted to Crownelius's post with š„ 5 days ago
Post
5875
My Huggingface journey has been a trip!
I wanted to take the time to thank each and every one of you for using my dataset and getting it to go as far as it did. Believe it or not, some neanderthal was and maybe still is trending on huggingface.
Not only did my dataset reach number one, my fine-tuned qwen3.5 model did as well. Top 10. Honestly, ain't much left to do here.
Y'all have given me the desire, no... the craving for more. I am absolutely obsessed with AI now. I want to tweak it... I want to take it apart, just to see what makes everything tick. I want to put it together like Frankenstein and his monster.
The only thing that's stopping this guy is compute. I don't mind spending every penny I have on this. I desperately want to drive AI forward, even just a little bit.
I never knew the clanker hater from a year ago would be saying this.
Thank you all from the bottom of my heart.
Looking forward to showing you what I'm cooking up next. @CompactAI is your only hint!
I wanted to take the time to thank each and every one of you for using my dataset and getting it to go as far as it did. Believe it or not, some neanderthal was and maybe still is trending on huggingface.
Not only did my dataset reach number one, my fine-tuned qwen3.5 model did as well. Top 10. Honestly, ain't much left to do here.
Y'all have given me the desire, no... the craving for more. I am absolutely obsessed with AI now. I want to tweak it... I want to take it apart, just to see what makes everything tick. I want to put it together like Frankenstein and his monster.
The only thing that's stopping this guy is compute. I don't mind spending every penny I have on this. I desperately want to drive AI forward, even just a little bit.
I never knew the clanker hater from a year ago would be saying this.
Thank you all from the bottom of my heart.
Looking forward to showing you what I'm cooking up next. @CompactAI is your only hint!
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reacted to anakin87's post with š„ā¤ļø 11 days ago
Post
3273
A small model that struggled against a random opponent now beats GPT-5-mini at tic-tac-toe
I took LiquidAI/LFM2-2.6B and trained it through play.
š§āš³ Here's how:
1ļøā£ Build a solid RL env with Verifiers (Prime Intellect)
2ļøā£ Generate synthetic data: <200 games sampled from GPT-5-mini playing in the env
3ļøā£ SFT warm-up to teach format
4ļøā£ Group-based RL (CISPO) against opponents making 20-70% random moves
5ļøā£ RL again with stronger opponents (0-25% random moves) + 1.25 temperature to push exploration and shake off suboptimal strategies
Done! Beats GPT-5-mini š
---
š® Play against the model: anakin87/LFM2-2.6B-mr-tictactoe
š¤ Model: anakin87/LFM2-2.6B-mr-tictactoe
š Walkthrough/course: https://github.com/anakin87/llm-rl-environments-lil-course
š¤ Dataset and checkpoints: https://huggingface.co/collections/anakin87/lfm2-26b-mr-tic-tac-toe
I took LiquidAI/LFM2-2.6B and trained it through play.
š§āš³ Here's how:
1ļøā£ Build a solid RL env with Verifiers (Prime Intellect)
2ļøā£ Generate synthetic data: <200 games sampled from GPT-5-mini playing in the env
3ļøā£ SFT warm-up to teach format
4ļøā£ Group-based RL (CISPO) against opponents making 20-70% random moves
5ļøā£ RL again with stronger opponents (0-25% random moves) + 1.25 temperature to push exploration and shake off suboptimal strategies
Done! Beats GPT-5-mini š
---
š® Play against the model: anakin87/LFM2-2.6B-mr-tictactoe
š¤ Model: anakin87/LFM2-2.6B-mr-tictactoe
š Walkthrough/course: https://github.com/anakin87/llm-rl-environments-lil-course
š¤ Dataset and checkpoints: https://huggingface.co/collections/anakin87/lfm2-26b-mr-tic-tac-toe
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replied to ajibawa-2023's post 16 days ago
Related: https://huggingface.co/datasets/jedisct1/golang
This dataset is a large (1,300,000+) corpus of commit messages and their corresponding code diff, from the most popular Go packages as well as the Go compiler itself.