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reacted to Tonic's post with 🔥 about 13 hours ago

🙋🏻‍♂️hello my lovelies , it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment. repo : https://huggingface.co/spaces/Tonic/hugging-claw/tree/main (use git clone to inspect) literally the one-click link : https://huggingface.co/spaces/Tonic/hugging-claw?duplicate=true you can also run it locally and see for yourself : docker run -it -p 7860:7860 --platform=linux/amd64 \ -e HF_TOKEN="YOUR_VALUE_HERE" \ -e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \ -e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \ -e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \ registry.hf.space/tonic-hugging-claw:latest just a few quite minor details i'll take care of but i wanted to share here first

reacted to unmodeled-tyler's post with 🚀 about 13 hours ago

NEW MODEL: https://huggingface.co/vanta-research/PE-Type-4-Solene-4B PE-Type-4-Solene-4B is the fourth release in Project Enneagram from VANTA Research, an initiative to study nuance in AI persona design wherein each of the 9 Enneagram types will be finetuned on the Gemma3 4B architecture. Solene is finetuned to exhibit the Individualist profile as defined by the Enneagram Institute; emotional honesty/depth, growth & transformation intelligence, and creative expression. As with the other releases in this project, Solene is perfect for research applications, persona exploration, or self-improvement. Type 5 soon!

reacted to etemiz's post with 👍 about 13 hours ago

Been fine tuning this model for months. Publishing today: https://huggingface.co/etemiz/Ostrich-32B-Qwen3-260217-GGUF This model has achieved AHA=67 score. Current AHA Leaderboard: https://aha-leaderboard.shakespeare.wtf/ Read more about AHA https://huggingface.co/blog/etemiz/aha-leaderboard More quants are coming.

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reacted to Tonic's post with 🔥 about 13 hours ago

Post

1320

🙋🏻‍♂️hello my lovelies ,

it is with great pleasure i present to you my working one-click deploy 16GB ram completely free huggingface spaces deployment.

repo : Tonic/hugging-claw (use git clone to inspect)
literally the one-click link : Tonic/hugging-claw

you can also run it locally and see for yourself :

docker run -it -p 7860:7860 --platform=linux/amd64 \
-e HF_TOKEN="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_TRUSTED_PROXIES="YOUR_VALUE_HERE" \
-e OPENCLAW_GATEWAY_PASSWORD="YOUR_VALUE_HERE" \
-e OPENCLAW_CONTROL_UI_ALLOWED_ORIGINS="YOUR_VALUE_HERE" \
registry.hf.space/tonic-hugging-claw:latest

just a few quite minor details i'll take care of but i wanted to share here first

2 replies

reacted to unmodeled-tyler's post with 🚀 about 13 hours ago

Post

958

NEW MODEL: vanta-research/PE-Type-4-Solene-4B

PE-Type-4-Solene-4B is the fourth release in Project Enneagram from VANTA Research, an initiative to study nuance in AI persona design wherein each of the 9 Enneagram types will be finetuned on the Gemma3 4B architecture.

Solene is finetuned to exhibit the Individualist profile as defined by the Enneagram Institute; emotional honesty/depth, growth & transformation intelligence, and creative expression.

As with the other releases in this project, Solene is perfect for research applications, persona exploration, or self-improvement.

Type 5 soon!

reacted to etemiz's post with 👍 about 13 hours ago

Post

790

Been fine tuning this model for months. Publishing today:

etemiz/Ostrich-32B-Qwen3-260217-GGUF

This model has achieved AHA=67 score.

Current AHA Leaderboard: https://aha-leaderboard.shakespeare.wtf/

Read more about AHA https://huggingface.co/blog/etemiz/aha-leaderboard

More quants are coming.

2 replies

reacted to EricFillion's post with 🚀 about 13 hours ago

Post

790

3B vs 120B parameter open-source LLMs running locally on a Mac. Your Mac might be more powerful than you think!

https://youtube.com/shorts/JdKtIdlnPs8?feature=share

1 reply

reacted to OzTianlu's post with 🤗 about 13 hours ago

Post

930

O(1) inference is the foundational design of Spartacus-1B-Instruct 🛡️ !

NoesisLab/Spartacus-1B-Instruct

We have successfully replaced the KV-cache bottleneck inherent in Softmax Attention with Causal Monoid State Compression. By defining the causal history as a monoid recurrence, , the entire prefix is lossily compressed into a fixed-size state matrix per head.

The technical core of this architecture relies on the associativity of the monoid operator:

Training: parallel prefix scan using Triton-accelerated JIT kernels to compute all prefix states simultaneously.
Inference: True sequential updates. Memory and time complexity per token are decoupled from sequence length.
Explicit Causality: We discard RoPE and attention masks. Causality is a first-class citizen, explicitly modeled through learned, content-dependent decay gates.

Current zero-shot benchmarks demonstrate that Spartacus-1B-Instruct (1.3B) is already outperforming established sub-quadratic models like Mamba-1.4B and RWKV-6-1.6B on ARC-Challenge (0.3063). Recent integration of structured Chain-of-Thought (CoT) data has further pushed reasoning accuracy to 75%.

The "Spartacus" era is about scaling intelligence, not the memory wall ♾️.

reacted to evalstate's post with 🤗 about 13 hours ago

Post

2218

Hugging Face MCP Server v0.3.2
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Replace model_search and dataset_search with combined hub_repo_search tool.
- Less distracting description for hf_doc_search
- model_search and dataset_search tool calls will still function (plan to remove next release).