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108
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docs: document
lmstudio
runtime contracts · openclaw/openclaw@82710b4
🎰
Procedural Generation
Content type:
Code
github.com
·
6d
6 days ago
Actions for docs: document lmstudio runtime contracts · openclaw/openclaw@82710b4
DiffusionGemma 26B A4B results on my 5090
🎰
Procedural Generation
huggingface.co
·
1d
1 day ago
·
r/LocalLLaMA
Actions for DiffusionGemma 26B A4B results on my 5090
Ollama 0.30 GPU Boost: Faster
local
Qwen
inference
on NVIDIA
🎰
Procedural Generation
everylocalai.com
·
20h
20 hours ago
·
DEV
Actions for Ollama 0.30 GPU Boost: Faster local Qwen inference on NVIDIA
Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and
GGUF
Post-Training
Quantization
of Ideogram 4.0 for Consumer GPUs
🎰
Procedural Generation
Content type:
Academic
arxiv.org
·
13h
13 hours ago
Actions for Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs
lightmetal: GPU
LLM
Inference
From a Single Java 25 JAR
🎰
Procedural Generation
Content type:
Blog
adambien.blog
·
2d
2 days ago
Actions for lightmetal: GPU LLM Inference From a Single Java 25 JAR
Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit
quantized
as his primary
local
Mac
LLM
🗂️
Obsidian
Content type:
News
digg.com
·
4d
4 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
Show HN: Run
Llama.cpp
In-Process from Java with Project Panama FFM
🎲
Playtesting
deemwar-products.github.io
·
6d
6 days ago
·
Hacker News
Actions for Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM
I added this open-source tool to my
local
AI stack, and my
local
LLM
finally has persistent memory
🗂️
Obsidian
xda-developers.com
·
2d
2 days ago
Actions for I added this open-source tool to my local AI stack, and my local LLM finally has persistent memory
Less-relevant results
Orchestrate your
LLM
pipeline.
Locally
🗂️
Obsidian
llmforge.app
·
36m
36 minutes ago
·
Hacker News
Actions for Orchestrate your LLM pipeline. Locally
Improved performance and model support with
GGUF
🎰
Procedural Generation
Content type:
Blog
ollama.com
·
6d
6 days ago
Actions for Improved performance and model support with GGUF
MTP Isn't Always a Win: 1.95x on My 3090, but Speculative Decoding Is Hardware-Dependent
🎰
Procedural Generation
Content type:
Blog
bric.pe.kr
·
2d
2 days ago
·
DEV
Actions for MTP Isn't Always a Win: 1.95x on My 3090, but Speculative Decoding Is Hardware-Dependent
local
llm
on laptop 780M GPU using
llama
+ gemma 4 qat
🎰
Procedural Generation
Content type:
Blog
alper.bearblog.dev
·
5d
5 days ago
Actions for local llm on laptop 780M GPU using llama + gemma 4 qat
Purpose-built
local
AI agents
🎰
Procedural Generation
Content type:
Blog
samihonkonen.com
·
2d
2 days ago
·
Hacker News
Actions for Purpose-built local AI agents
Unsloth Gemma 4 QAT
🎲
Tabletop Simulators
unsloth.ai
·
6d
6 days ago
Actions for Unsloth Gemma 4 QAT
GGUF
vs GPTQ vs AWQ: The Plain-English Guide to
LLM
Quantization
(and Which One to Pick)
🗂️
Obsidian
vettedconsumer.com
·
5d
5 days ago
·
Hacker News
Actions for GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)
Tokiyo Ooto & Orhythmoが新作アルバム『Play Nursery Rhymes and Children's Songs (童謡と子供の歌を唄う)』をEM Recordsよりリリース | AVE | CORNER PRINTING
✒️
Typography
ave-cornerprinting.com
·
8h
8 hours ago
Actions for Tokiyo Ooto & Orhythmoが新作アルバム『Play Nursery Rhymes and Children's Songs (童謡と子供の歌を唄う)』をEM Recordsよりリリース | AVE | CORNER PRINTING
Qwen 3.6 27B AutoRound
GGUF
, need your feedback
🗂️
Obsidian
huggingface.co
·
1d
1 day ago
·
r/LocalLLaMA
Actions for Qwen 3.6 27B AutoRound GGUF, need your feedback
The latest Gemma 4 models use a training trick to slash their on-device memory footprint
🎰
Procedural Generation
androidauthority.com
·
5d
5 days ago
Actions for The latest Gemma 4 models use a training trick to slash their on-device memory footprint
Here's a
llama.cpp
CLI Command builder.
🎲
Playtesting
llamabuilding.com
·
2d
2 days ago
·
r/LocalLLaMA
Actions for Here's a llama.cpp CLI Command builder.
Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
🎰
Procedural Generation
Content type:
News
Content type:
Blog
blog.google
·
6d
6 days ago
·
Hacker News
Actions for Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
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