Juggernaut-XL-v9
RunDiffusion · Kit
Makes photorealistic images from text prompts, as a Stable Diffusion XL fine-tune that the card says runs on 8 GB of video memory. For creators who want photo-…
RunDiffusion · Kit
Makes photorealistic images from text prompts, as a Stable Diffusion XL fine-tune that the card says runs on 8 GB of video memory. For creators who want photo-…
yuxinlu1 · Kit
A GGUF fine-tune of Google's Gemma 4 12B instruction model for coding and tool-using agent work, sized to run offline on a machine with about 4.5 GB of free me…
unsloth · Kit
Runs Unsloth's GGUF copy of the GLM-5.3-Flash text model on your own hardware, a large open model its authors aim at coding and agent work. For people with ple…
peculiar-ragdoll · Kit
Runs a 4B coding model with long context on a graphics card with 6 GB of memory. These GGUF quants of Spark-X2.6-4B come in three sizes and use a coding-weight…
openai · Kit
Writes, reasons and calls tools from text prompts, in an open-weight 21B model from OpenAI that runs within 16 GB of memory. For developers who want a local or…
memorilla · Kit
Holds memory-module checkpoints for Memorilla, which add a memory to a frozen Qwen3-8B model through a Qwen3-Embedding-4B encoder. For researchers testing memo…
ISTA-DASLab · Kit
An expert pruned and quantized GGUF of DeepSeek-V4.1-Flash-1017 from ISTA-DASLab, aimed at code and agent work, with transformer weights of 72.1 GB. Suits deve…
pranamhan · Kit
An interactive browser demo that compares FlyHash and SimHash for retrieving items, built to accompany a paper on FlyHash for LLM agent memory. For researchers…
prajwalpujari16 · Kit
A browser studio that simulates GPU PagedAttention block allocation, prefix caching, speculative decoding checks and KV-cache sizing. For engineers and student…
prajwalpujari16 · Kit
A browser tool that estimates the GPU memory an LLM needs, compares GPUs, sizes speculative decoding latency and estimates cloud cost per million tokens, befor…
nvidia · Kit
Shows a leaderboard that benchmarks KV cache compression methods for language models, using Llama-3.1-8B-Instruct and Qwen3-8B. It suits researchers and engine…
egorchistov · Kit
Estimates optical flow, the per-pixel motion between video frames, for Full HD video while using little GPU memory, with a Gradio demo and several trained mode…
abdulrahmanmaslmany · Kit
Estimates the GPU memory a language model needs: weights, KV cache and total VRAM. For people who run models on their own graphics card and want to check the f…
DavidAU · Kit
Estimates how much video memory a GGUF model needs, in a static page that runs in your browser. Suits people choosing a quantized model that fits their graphic…
donaldJJ · Kit
Estimates how much GPU memory a Hugging Face model needs at any quantization and context length, split into weights, KV cache and overhead, and shows which GPU…
fastgpu · Kit
Estimates how much GPU memory a Hugging Face model needs to run or fine-tune, and shows the cheapest GPU setups with live rental prices. For people planning to…
An n8n workflow that answers Instagram direct messages in your own voice. ManyChat posts each message to a webhook, an OpenAI agent replies with a short memory…
n8n workflow
An n8n workflow with a chat and an AI agent that reads one Google Doc through a tool and answers questions only from it, with a short memory of the conversatio…
An n8n workflow that gives a Telegram bot a memory for each person. It opens an OpenAI conversation for each new person, saves its id in a Supabase table and c…
An n8n workflow that answers Telegram messages with an AI model on OpenAI. It remembers the last ten exchanges of each chat, so a follow-up question makes sens…