Model inference Provider
Hi everyone, I hope to use Mistral and Phi-2 model inference provider. Please suggest me any options to use them for free. 2 posts - 2 participants Read full topic
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Failure Mechanisms and Risk Estimation for Legged Robot Locomotion on Granular Slopes
arXiv:2603.06928v2 Announce Type: replace Abstract: Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media. Using a hexapedal robot on a tiltable granular bed, we systematically measure locomotion speed together with slope-dependent normal and shear granular resistive forces. While normal penetration resistance remains nearly unchanged with inclination, shear resistance decreases substantially as slope angle increases. Guided by these measurements, we develop a simple robot-terrain interaction model that predicts anchoring timing, step length, and resulting robot speed, as functions of terrain strength and slope angle. The model reveals that slope-induced per
Why APEX Matters for MoE Coding Models and why it's NOT the same as K quants
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Failure Mechanisms and Risk Estimation for Legged Robot Locomotion on Granular Slopes
arXiv:2603.06928v2 Announce Type: replace Abstract: Locomotion on granular slopes such as sand dunes remains a fundamental challenge for legged robots due to reduced shear strength and gravity-induced anisotropic yielding of granular media. Using a hexapedal robot on a tiltable granular bed, we systematically measure locomotion speed together with slope-dependent normal and shear granular resistive forces. While normal penetration resistance remains nearly unchanged with inclination, shear resistance decreases substantially as slope angle increases. Guided by these measurements, we develop a simple robot-terrain interaction model that predicts anchoring timing, step length, and resulting robot speed, as functions of terrain strength and slope angle. The model reveals that slope-induced per
qwen3.5 vs gemma4 vs cloud llms in python turtle
I have found python turtle to be a pretty good test for a model. All of these models have received the same prompt: "write a python turtle program that draws a cat" you can actually see similarity in gemma's and gemini pro's outputs, they share the color pallete and minimalist approach in terms of details. I have a 16 gb vram gpu so couldn't test bigger versions of qwen and gemma without quantisation. gemma_4_31B_it_UD_IQ3_XXS.gguf Qwen3_5_9B_Q8_0.gguf Qwen_3_5_27B_Opus_Distilled_Q4_K_S.gguf deepseek from web browser with reasoning claude sonnet 4.6 extended gemini pro from web browser with thinking submitted by /u/SirKvil [link] [comments]
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