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…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
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…
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…
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…
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…
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…
bartowski · Kit
Small English and Chinese chat model as GGUF files from full bf16 down to about 2.4 GB, for llama.cpp, with a low or high thinking setting. For developers who…
XHToken · Kit
Speeds up text generation for Spark-X2.6-4B as a small draft model for speculative decoding, in GGUF format. Meant for people running that model locally with l…
XHToken · Kit
A 4.1B language model for on-device use, tuned for coding, agent tasks, long context and reasoning in English and Chinese, with three thinking levels. For deve…
peculiar-ragdoll · Kit
Compressed GGUF copies of the 4B Spark-X2.5 coding model, tuned for long context on GPUs with about 6 GB of memory. Made for developers who want a local coder…
XHToken · Kit
Generates text with a compact 1.7B model for on-device use, with three adjustable thinking levels. Suits developers who want coding, agent and long-context hel…
XHToken · Kit
Runs a small 1.7B on-device language model from XHToken as 4-bit GGUF files, for chat, coding and agent tasks in English and Chinese, with adjustable thinking…
XHToken · Kit
A compact 4B language model in GGUF form for on-device use, tuned for coding, agents and long context, with three thinking levels from none to high. Works in E…
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…
meta-models · Kit
Reads text and images and carries out agent tasks such as tool calls and multi-step reasoning on a local machine, in a 30B model distilled from Muse Spark. For…
XHToken · Kit
A 4.1B language model for coding, agent work and long context in English and Chinese, with three thinking levels. For developers building agents that run on th…
mohdmahmodi · Kit
Runs the Spark-X2.6-1.7B chat model inside your browser on WebGPU, so what you type stays on your device. It suits people with desktop Chrome or Edge who want…