Hugging Face

Feeds to Scour
SubscribedAll
Scoured 60 posts in 8.7 ms

Hugging Face Transformers: Complete Guide (2026)

 🤖Large Language Models
pub.towardsai.net
·

Parameter-Efficient Fine-Tuning with Learnable Rank

 🤖LLM Inference  Content type: Academic
arxiv.org·
Less-relevant results

OpenEnv is now owned by HF, Torch, Prime Intellect, Unsloth, Modal, Mercor, and more! Use it for training agents.

 📡Protocol Design  Content type: Blog

DiffusionGemma: 4x Faster Text Generation

 💬NLP  Content type: News  Content type: Blog

If Claude Fable stops helping you, you’ll never know

 🧠LLM
simonwillison.net··Hacker News

MOT: a tool to fight openwashing in AI

 🟢Open Source
lwn.net·

DiffusionGemma: The Developer Guide- Google Developers Blog

 🤖LLM Inference  Content type: Blog

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

 🤖LLM Inference  Content type: Code
github.com··r/LocalLLaMA

LangChain Series #2: Models Explained — LLMs, Chat Models, and Embeddings with Practical…

 🤖Large Language Models
pub.towardsai.net
·

The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical Reasoning

 🔬Cognitive Science  Content type: Academic
arxiv.org·

Words do not have determined meanings

 🧠LLM  Content type: Discussion

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

 💬LLMs  Content type: Academic
arxiv.org·

Thread by @NVIDIAAI on Thread Reader App

 🎯AI Agents
threadreaderapp.com·

nex-agi/Nex-N2-mini • Huggingface

 🎯AI Agents

AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis

 💬NLP  Content type: Academic
arxiv.org··Hacker News

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

 💬LLMs
pub.towardsai.net
·

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 💬NLP

Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM

 💬NLP  Content type: News
digg.com··Hacker News

Qwen3.6 + MTP: Calculated context size is smaller when I use `--spec-draft-type-* q4_0`. is this normal? · ggml-org llama.cpp · Discussion #24102

 💬NLP  Content type: Discussion  Content type: Code
github.com··r/LocalLLaMA

SafeRun: Enabling Determinism in LLM Planning for Running

 💬NLP  Content type: Academic
arxiv.org·

Keyboard Shortcuts

Navigation

Next / previous item
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Browse
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help