Browse AI skills, agents and automations

DeepSeek-V4.1-Flash-1017-TrellisMX-FLARE

JMNI-Labs · Kit

Serves DeepSeek V4.1 Flash across two NVIDIA DGX Sparks with an OpenAI-compatible API, from a compressed TrellisMX package. For teams running a large model on…

Spark-X2.6-4B-FP8

XHToken · Kit

Compact 4.1B-parameter text model in FP8 form for on-device use, with three thinking levels (none, low, high) and English and Chinese support. Aimed at coding…

Spark-X2.6-1.7B-Base

XHToken · Kit

A compact 1.7B language model for on-device use in English and Chinese, with gains in coding, agent tasks and long context, and three adjustable thinking level…

Spark-X2.5-4B

XHToken · Kit

A compact 4.1B general-purpose language model with a native 1M-token context, over 200 languages and a hybrid attention design, tuned for coding and agent use.…

Spark-TTS-0.5B

SparkAudio · Kit

Speaks Chinese and English from text with a Qwen2.5-based model, including zero-shot voice cloning and virtual voices set by gender, pitch and speaking rate. F…

Ornith-1.5-122B-NVFP4-DFlash2-RTX-Spark

Sherlock-Comms · Kit

Serves the 122B Ornith 1.5 model through vLLM with DFlash2 speculative decoding, using an unquantized output head. Made for RTX Spark laptops with 128 GB of me…

MiniCPM-OCR 1.0 DSpark

openbmb · Kit

Speeds up MiniCPM-OCR 1.0 by drafting tokens that the main model checks in one pass. A draft head, not a standalone OCR model, for people who self-host documen…

GLM-5.3-Flash EXL3 4bpw for TensorFold

Mia-AiLab · Kit

4-bit EXL3 quantization of GLM-5.3-Flash prepared for TensorFold, with lower KL divergence than a popular TR3-4bpw quant at the same size. For people serving l…

KVARK Sparkle 1.0 (27B) FP8

Egzakta · Kit

Runs a 27B model that reads images and text, in FP8 for vLLM. It reasons with far fewer tokens than a Qwen model of the same size. Made for people who host the…

Kvark-Sparkle-1.0-27B

Egzakta · Kit

Reasons over images and text with fewer thinking tokens than its base Qwen3.8-27B, so answers arrive in about half the time at similar accuracy, per its card.…

Qwen3.8-27B-NVFP4-DGX-SPARK

autotrust · Kit

Speeds up Qwen3.8-27B NVFP4 decoding about 3.9 times on a DGX Spark, using the same weights and a tuned speculative-decoding setup. For teams serving it with v…

GLM-5.3-Flash EXL3 Spark

0xSero · Kit

Runs GLM-5.3-Flash with a 256k-token context and image input on one DGX Spark, using a mixed 2.31 bits-per-weight EXL3 build. For people hosting a large model…

Rostam-S1-4B

officialmobai · Kit

Reasons step by step through math, physics, scientific code and Persian or English questions, with tool calling. A 4.1B model built on Spark-X2.6-4B, for peopl…

Spark-X2.6-4B-AgentFast

JamieBradfield · Kit

Calls tools and follows instructions with almost no thinking delay, as a 4.1B fine-tune of Spark-X2.6-4B. Made for people building fast local agents that need…

Spark-X2.6-4B-Blender

hotocooo · Kit

Writes Blender 5.x Python scripts that build clean, quad-dominant meshes such as props, furniture, products and human or animal base meshes. A 4B fine-tune of…

KVARK Sparkle 1.1 27B GGUF

Egzakta · Kit

Runs the 27B KVARK Sparkle 1.1 model from GGUF files in several sizes, with optional image input and speculative decoding. For people running models locally wi…

KVARK Sparkle 1.1 (27B)

Egzakta · Kit

A 27B model tuned for document work: it searches a document base, answers from what it finds and says so when the answer is missing, for builders of document a…

Kvark-Sparkle-1.0-27B-GGUF

Egzakta · Kit

GGUF files of KVARK Sparkle 1.0, a 27B vision-language model, for llama.cpp, Ollama and LM Studio, with the speculative-decoding head kept. For people running…

Ling-3.1-flash-DSpark

AQ-MedAI · Kit

A small draft model that speeds up Ling-3.1-Flash with speculative decoding in SGLang, drafting 5 or 7 tokens at a time. For teams serving Ling-3.1-Flash on NV…

Spark-X2.6-1.7B-DSpark-GGUF

XHToken · Kit

A small draft model that speeds up Spark-X2.6-1.7B through speculative decoding, guessing up to seven tokens per step. For people who run that model locally on…