From 3012a1e877ed28fa4c0fa56f6bf3cf0932425541 Mon Sep 17 00:00:00 2001 From: grey <0xgr3y@users.noreply.huggingface.co> Date: Mon, 10 Nov 2025 14:19:49 +0000 Subject: [PATCH] Update README.md --- README.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 8a552fa..01f9ee4 100644 --- a/README.md +++ b/README.md @@ -59,7 +59,7 @@ model-index: name: Training Progress (%) --- -# Qwen3-0.6B-Gensyn-Swarm (tall_tame_panther) +# Qwen3-0.6B-Gensyn-Swarm the Agent-ID (tall_tame_panther) [![Model](https://img.shields.io/badge/🤗%20Hugging%20Face-Model-blue)](https://huggingface.co/0xgr3y/Qwen3-0.6B-Gensyn-Swarm-tall_tame_panther) [![GGUF](https://img.shields.io/badge/GGUF-Available-green)](https://huggingface.co/0xgr3y/Qwen3-0.6B-Gensyn-Swarm-tall_tame_panther/tree/main) @@ -68,18 +68,19 @@ model-index: ## Model Overview -This model is a continuously trained Qwen3-0.6B fine-tuned using **Gensyn RL-Swarm** framework with **GRPO (Generalized Reward Policy Optimization)** for enhanced reasoning and mathematical capabilities. **Note: Current training focuses on math/reasoning tasks**. +This model is a continuously trained Qwen3-0.6B fine-tuned using **Gensyn RL-Swarm** framework with **GRPO (Generalized Reward Policy Optimization)** and support **GGUF (llama.cpp)** for enhanced reasoning and mathematical capabilities. **Note: Current training focuses on math & reasoning tasks**. -**Agent ID:** `tall_tame_panther` -**Training Status:** 🟢 LIVE - Model updates automatically every 5-10 minutes -**Current Progress:** Round 43,610+ / 100,000 (43,61%) -**Framework Version:** Gensyn RL-Swarm v0.6.4 -**Contract:** SwarmCoordinator v0.4.2 +- **Agent ID:** `tall_tame_panther` +- **Training Status:** 🟢 LIVE - Model updates automatically every 5-10 minutes +- **Auto-Sync GGUF Pipeline Status:** 🟢 LIVE - Commits update automatically every 1h-hourly +- **Current Progress:** Round 43,610+ / 100,000 (43,61%) +- **Framework Version:** Gensyn RL-Swarm v0.6.4 +- **Contract:** SwarmCoordinator v0.4.2 ## Key Features - **Real-time Training**: Continuous learning with distributed RL across Gensyn swarm network -- **Multi-domain Reasoning**: Trained on logic, arithmetic, and mathematical problem-solving +- **Multi-domain Reasoning**: Trained on logic, mathematical problem-solving & reasoning tasks - **GGUF Support**: Multiple quantized formats available (F16, Q3_K_M, Q4_K_M, Q5_K_M) - **llama.cpp Compatible**: Ready for edge deployment and local inference - **BF16 Precision**: Trained with bfloat16 for optimal performance