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Gemma

Gemma is a collection of lightweight, state-of-the-art open models built from the same technology that powers our Gemini models.

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Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4
xbill profile

Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4

#aws #sagemaker #gemma #vllm
Comments
9 min read
Gemma 4 on an Amazon SageMaker Endpoint: AWS CLI, NVIDIA L4, and an MCP Server
xbill profile

Gemma 4 on an Amazon SageMaker Endpoint: AWS CLI, NVIDIA L4, and an MCP Server

#aws #sagemaker #gemma #mcp
Comments
10 min read
From smartphone to sovereign agent:How native on-device intelligence reshapes the personal computing device
taslimmuhammed profile

From smartphone to sovereign agent:How native on-device intelligence reshapes the personal computing device

#ai #programming #gemma #ondeviceai
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24 min read
Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice
xbill profile

Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice

#gemma #aws #machinelearning #llm
1
Comments
23 min read
Google's QAT Gemma 4 26B-A4B on One TPU v6e: 15.6x the KV Cache and 1.9x the Throughput of FP8
xbill profile

Google's QAT Gemma 4 26B-A4B on One TPU v6e: 15.6x the KV Cache and 1.9x the Throughput of FP8

#gemma #googlecloud #machinelearning #llm
Comments 1
12 min read
Use Local LLM to Enable AI Enhancement for Speech-to-Text Dictation
herbertyang profile

Use Local LLM to Enable AI Enhancement for Speech-to-Text Dictation

#dictation #gemma #voiceink #vibecoding
Comments
5 min read
A 4 GB Laptop GPU vs a 6-Core CPU on Gemma 4, Re-Measured in ABBA Order: 4.1x
xbill profile

A 4 GB Laptop GPU vs a 6-Core CPU on Gemma 4, Re-Measured in ABBA Order: 4.1x

#gemma #llamacpp #cuda #benchmarking
10
Comments 2
11 min read
Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4
xbill profile

Gemma 4 on Amazon SageMaker: QAT Weights Decode 2.05x Faster Than bf16 on One L4

#aws #sagemaker #gemma #vllm
7
Comments
9 min read
Gemma 4 on an Amazon SageMaker Endpoint: AWS CLI, NVIDIA L4, and an MCP Server
xbill profile

Gemma 4 on an Amazon SageMaker Endpoint: AWS CLI, NVIDIA L4, and an MCP Server

#aws #sagemaker #gemma #mcp
7
Comments
10 min read
Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From a GPU
xbill profile

Running a Jev-Style Decision Model on One TPU v6e: What Fits, What It Costs, and What Changes From a GPU

#gemma #googlecloud #machinelearning #llm
10
Comments
13 min read
Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice
xbill profile

Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice

#gemma #aws #machinelearning #llm
8
Comments
23 min read
Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier
xbill profile

Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier

#ai #machinelearning #llm #gemma
9
Comments 1
17 min read
Gemma 4 on a Tesla T4, Part 2: The Minimum GCE VM and a Script to Drive It
xbill profile

Gemma 4 on a Tesla T4, Part 2: The Minimum GCE VM and a Script to Drive It

#gemma #vllm #gcp #cuda
13
Comments
13 min read
Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier
xbill profile

Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier

#ai #machinelearning #llm #gemma
3
Comments 2
17 min read
Why I Chose Gemma 4 E2B for Subra AI: The Reality of Running LLMs on Mid-Range Phones
subraatakumar profile

Why I Chose Gemma 4 E2B for Subra AI: The Reality of Running LLMs on Mid-Range Phones

#ai #reactnative #gemma #ios
1
Comments
3 min read
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