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Florian Brand, Prime Intellect research engineer, adopts
Gemma
4 E4B 6-bit
quantized
as his primary
local
Mac LLM
🚀
Model Deployment
Content type:
News
digg.com
·
3d
3 days ago
·
Hacker News
Actions for Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM
Exclusive: Internal docs reveal
Mistral
valued M&A target Emmi at up to €330m
🧠
Deep Learning
sifted.eu
·
2d
2 days ago
Actions for Exclusive: Internal docs reveal Mistral valued M&A target Emmi at up to €330m
MechLens: Late Crystallization of Factual Knowledge Explains Intervention Effectiveness in Language Models
🔄
Sequence-to-Sequence Models
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for MechLens: Late Crystallization of Factual Knowledge Explains Intervention Effectiveness in Language Models
Gemma
4 QAT models: Optimizing model compression for mobile and laptop efficiency
🤖
AI
Content type:
News
Content type:
Blog
blog.google
·
5d
5 days ago
·
Hacker News
Actions for Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
Neo-X7/Neo-AI: A fully offline AI assistant powered by
Ollama
. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.
🗄️
Vector Databases
Content type:
Code
github.com
·
18h
18 hours ago
·
DEV
Actions for Neo-X7/Neo-AI: A fully offline AI assistant powered by Ollama. Stores and retrieves conversations using SQLite + LanceDB vector search. No cloud. No API keys. Runs entirely on your machine.
Aspen: Own your intelligence
🧠
Deep Learning
Content type:
Discussion
Content type:
Tutorial
runonaspen.com
·
1d
1 day ago
·
Hacker News
Actions for Aspen: Own your intelligence
Show HN: Audit any AI/data pairing with Veritrooper
🚀
Model Deployment
veritrooper.com
·
5d
5 days ago
·
Hacker News
Actions for Show HN: Audit any AI/data pairing with Veritrooper
WWDC 2026: Foundation Models (& Anarlog)
🚀
Model Deployment
skushagra.com
·
2d
2 days ago
Actions for WWDC 2026: Foundation Models (& Anarlog)
How to Run
Gemma
4 12B
Locally
- The Best AI For Consumer Laptops
🤖
AI
Content type:
Video
youtube.com
·
6d
6 days ago
Actions for How to Run Gemma 4 12B Locally - The Best AI For Consumer Laptops
Token4Token — pay-per-token
inference
on Gnosis + Swarm
🚀
Model Deployment
t4t.eth.link
·
1d
1 day ago
·
Hacker News
Actions for Token4Token — pay-per-token inference on Gnosis + Swarm
Google DeepMind releases
Gemma
4 QAT, but Unsloth developer Daniel Han warns naive
llama.cpp
conversions suffer accuracy loss
🚀
Model Deployment
Content type:
News
digg.com
·
5d
5 days ago
Actions for Google DeepMind releases Gemma 4 QAT, but Unsloth developer Daniel Han warns naive llama.cpp conversions suffer accuracy loss
AI
inference
: what it is and why it matters for product managers
🚀
Model Deployment
marcabraham.com
·
2d
2 days ago
Actions for AI inference: what it is and why it matters for product managers
I ran
local
AI models on a six-year-old laptop with no GPU, and they actually worked
🚀
Model Deployment
xda-developers.com
·
5d
5 days ago
Actions for I ran local AI models on a six-year-old laptop with no GPU, and they actually worked
SAE It Across Models: Explaining Features With Foreign NLA Verbalizers
🤖
Transformer Architecture
lesswrong.com
·
5d
5 days ago
Actions for SAE It Across Models: Explaining Features With Foreign NLA Verbalizers
Google
Gemma
4 12B nearly matches 26B benchmarks — and runs on your laptop
🚀
Model Deployment
thenewstack.io
·
6d
6 days ago
Actions for Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop
(
Mis
)generalization of Helpful-Only
Fine-tuning
🎮
Reinforcement Learning
lesswrong.com
·
6d
6 days ago
Actions for (Mis)generalization of Helpful-Only Fine-tuning
GGUF
vs GPTQ vs AWQ: The Plain-English Guide to
LLM
Quantization
(and Which One to Pick)
🤖
AI
vettedconsumer.com
·
4d
4 days ago
·
Hacker News
Actions for GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)
KaiFelixBennett/gemma4-turboquant-rdna4
: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for
llama.cpp
, fully measured on real hardware.
🚀
Model Deployment
Content type:
Code
github.com
·
15h
15 hours ago
·
Hacker News
Actions for KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.
MoQ
GGUFs
and GSQ: Low-Bit
GGUFs
Are About to Get Much Better
🤖
AI
Content type:
News
Content type:
Blog
kaitchup.substack.com
·
5d
5 days ago
·
r/LocalLLaMA
Actions for MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better
Google
Gemma4
12B released
🤖
AI
Content type:
Blog
medium.com
·
6d
6 days ago
Actions for Google Gemma4 12B released
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