llama.cpp on a jailbroken PS5: run any GGUF model natively on the console, starting with Qwen 3.8
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Rewrites AI drafts so they read like a person wrote them — runs locally, keeps the facts
This repo offers a simple interface that helps you to read&summerize research papers in pdf format. You can ask some questions after reading. This interface is developed based on openai API and using GPT-3.5-turbo model.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
DeepSeek API pricing guide for models, cache hits, and peak hours (2026).
- api-pricing
- cost-calculator
- deepseek
- prompt-caching
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
- apple-silicon
- llm
- llm-inference
- local-llm
OmniEdu: Open Foundation Models for Learning and Teaching
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
- avx2
- c
- cpu-inference
- gguf
Uncensored AI API and models — one key for Claude, GPT, Gemini, Grok, DeepSeek, GLM, Qwen and Kimi, with uncensored and abliterated variants where available. OpenAI- and Anthropic-compatible. Pay per token.
- abliterated-models
- ai-gateway
- anthropic-compatible
- claude-api
Open-source LLM gateway in Rust. One endpoint for OpenAI, Anthropic, Gemini and every other vendor. Any SDK, any model, any tool.
GLM 5.3 abliterated or uncensored API access with RouterHub. Browse 35 jailbreak prompt links, compare GLM models, and find SDK examples, coding-tool setup, pricing, and evaluation guides.
- abliterated
- abliterated-models
- ai-api
- ai-jailbreaks
AI jailbreaks: 35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, AGENTS.md specs, and Ollama Modelfiles. Built for AI security research and red-team testing.
- ai
- ai-safety
- jailbreak
- jailbreaking
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings
An easier way to use AI on your own computer. A free, open-source alternative to Claude and ChatGPT that runs open-weight models like Gemma and gpt-oss locally on Mac, Windows and Linux. Private, and works offline.
- ai-agent
- ai-assistant
- chatgpt-alternative
- claude-alternative
TranslatedFerry OpenCode's free models over to WorkBuddy — isolated runtime, concurrent detection, verdict caching, one-click import, and a local OpenAI-compatible forwarding port
A large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, Copilot, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.
TranslatedConnect all the model quotas you can get for free into the same DSH pool: automatic multi-account fault tolerance for WorkBuddy, QR-code login for 13 providers, aggregation of free quotas from 76 providers, a usage dashboard, model routing, a local OpenAI gateway, and automated points collection.
- codebuddy
- dsh-plugin
- failover
- model-provider
Make Codex and Claude Code subscriptions go further: a local model router that gives routine agent work to economical models and keeps your strongest model for the hard parts.
- model-routing
- task-routing
- ai-agents
- ai-gateway
Neovim plugin for interacting with LLM's and building editor integrated prompts.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
- cpu
- diffusion-models
- gguf
- inference
UCE is a zero-shot foundation model for single-cell gene expression data
Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.