Gemma 4 E4B

Headlines · 4

1. 4d
   Robot Safety Systems Face a Test When Their Inputs Are Manipulated

   An IEEE Spectrum article sponsored by VicOne examines how manipulated distance readings, position estimates, messages, or sensor data can undermine robot safety decisions. VicOne LAB R7 reports that poster text changed a robot dog’s movement with Gemma 4 E4B, crafted audio altered a hospital-service-robot simulation, and a ROS 2/DDS message caused a robot to move despite a safe-control setting; it also notes that researchers did not demonstrate the same gyroscope attack chain on a humanoid. The article argues that safety teams should test safeguards against false or manipulated inputs and check whether supposedly independent protections share vulnerable inputs.

   IEEE Spectrum · 🔥 0
2. Oct 19
   HardenedLinux releases SonicBoom v0.0.3, a compiler-first inference runtime

   The HardenedLinux community announced SonicBoom v0.0.3, an open-source GPLv3 inference runtime that it describes as compiler-first and free of Python at build or run time, using one shared library, a C ABI and Guile Scheme as its first-class language. On a single RTX 3050 8GB, the team self-reported that Gemma 4 E4B Q3_K_M reached 1.18× llama.cpp's decode speed and 1.00× prefill, while Qwen2.5-0.5B Q4_K_M reached 1.12× and 1.09×; Qwen decode at depth 512 was 0.98×. The team acknowledges it tested only one GPU and is asking NVIDIA owners to run a one-command benchmark and post results.

   r/LocalLLaMA · 🔥 0
3. Oct 14
   Jailbroken PS5 runs Qwen3.8-27B locally at 20.9 tokens/s via GPU

   Developer abhi245y built PS5LM Plus, a native GPU app on top of Mert Cobanov's PS5LM llama.cpp port, letting a jailbroken PS5 call the console GPU through a Mesa RADV driver and Vulkan; usable memory reportedly rose from about 6GB to 11.4GB, enough for a heavily quantized Qwen3.8-27B. Developer-reported tests put that model at about 20.9 tokens/s with GPU utilization at 100% and CPU at 2%, while smaller Gemma 4 E4B and Llama 3.2 3B models reached roughly 61 and 124 tokens/s. PS5LM Plus also offers a LAN web chat interface and OpenAI/Anthropic-compatible APIs, but it requires a jailbreak, carries warranty and account-ban risks, and the 16GB unified memory still limits model size and quality.

   Wccftech · 🔥 0
4. Oct 8
   JetBrains releases Mellum2.1 coding model

   JetBrains launched Mellum2.1, keeping Mellum2's 12B mixture-of-experts architecture with 2.5B active parameters and the Apache 2.0 license, and focusing the upgrade on agentic coding. JetBrains says reinforcement learning was expanded from a short post-training step into the main training stage, letting the model explore codebases, edit files, identify root causes of failing tests and draft and verify fixes. The model is available on Hugging Face, with GGUF builds for llama.cpp, Ollama and LM Studio and a vLLM MTP speculative-decoding component promised later.

   IT之家 AI · 🔥 0

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