Natural language inference models

BERT-era encoder models for entailment that enable zero-shot classification.

OtherAI & MLnlpzero-shotclassification

Recommended in 1 thread

Gemini Decisions API
blog.google · 2 days ago
Suggested for doing Jev-like decisions with smaller models.

Terra 6.1 ↗AI & ML
A large language model in the Terra series.
0 threads
Liquid AI Decision Models ↗AI & ML
Models from Liquid AI trained specifically to produce decisions with calibrated confidence.
1 thread
BERT ↗AI & ML
Google's 2018 bidirectional encoder Transformer model for language representation.
2 threads
GLiNER ↗AI & ML
A family of compact models for promptable entity extraction and classification.
1 thread
LiveBench AI & ML
A public benchmark suite for evaluating large language models.
1 thread
Inkling 2 Small ↗AI & ML
A small open-weight language model under a restrictive license.
1 thread
Cerebras ↗AI & ML
A hosted fast inference service offering Qwen models.
1 thread
neuron-explorer ↗AI & ML
A project for exploring and steering individual neurons in language models.
1 thread

OpenRouter ↗
A marketplace that routes API requests to many LLM inference providers.
19 threads
DeepSeek ↗
A family of large language models offered via a low-cost API.
12 threads
llama.cpp ↗
A C/C++ engine for running LLMs locally.
12 threads
GLM ↗
An open-weights large language model family from Zhipu AI.
11 threads
Qwen ↗
Alibaba's family of open-weight large language models.
9 threads
DeepSeek V4.1 Flash ↗
A low-cost DeepSeek language model available via API.
8 threads
Artificial Analysis ↗
A site benchmarking and comparing AI models on quality, price and speed.
7 threads
Claude ↗
Anthropic's AI model and command-line assistant.
7 threads
Qwen 3.8 Flash Next ↗
A Qwen open-weight model that can be run locally.
5 threads
Strata ↗
An open-source project for running large MoE models on small-VRAM GPUs with system RAM.
5 threads
OpenCode Go ↗
A subscription plan for accessing models through the OpenCode coding tool.
4 threads
Pangram ↗
A service that uses a trained model to detect AI-generated text.
4 threads