Amos 1 large
mukaddamzaid · Kit
Answers typed questions about a case, given as text, JSON or a photo, in one pass with a probability for each allowed answer. A 27B decision model that writes…
mukaddamzaid · Kit
Answers typed questions about a case, given as text, JSON or a photo, in one pass with a probability for each allowed answer. A 27B decision model that writes…
mradermacher · Kit
GGUF quantized files of a 27.3B coding-distilled Qwen3.8 model, from 2-bit to 8-bit with an optional multi-modal supplement. They suit developers who run a cod…
mlx-community · Kit
Runs an 8-bit MLX copy of VulnLLM-R-7B for text generation through mlx-lm. Meant for developers who want to try the model locally. The card does not say what i…
mistralai · Kit
Generates and continues text as a 7B pretrained base model, for researchers and developers who want a starting point to test, tune or build on.
mistralai · Kit
A 7B instruction-tuned chat model from Mistral, fine-tuned from Mistral-7B-v0.1 on public conversation datasets. Made for developers who want a small open mode…
microsoft · Kit
Turns text in many languages into embedding vectors for search, clustering, similarity, classification and reranking. Made for developers who run semantic sear…
lmstudio-community · Kit
Runs a 27B model that reads images and text in an 8-bit MLX build for Apple Silicon Macs. It suits people who want picture questions answered locally.
Jundot · Kit
Runs Qwen3.8-27B as an 8-bit mixed-precision MLX checkpoint with its vision encoder and MTP head, for image and text chat on Apple hardware. For people who wan…
Jundot · Kit
Runs the 27B Qwen3.8 vision-language model on MLX in about 17.5 GB, reading text, images and video with a 262,144-token context. A mixed-precision quantization…
JoyIndustrial · Kit
Answers multiple-choice style questions about images and text with option probabilities, using a Qwen3.8-27B decision system with built-in OCR. For developers…
Joakimpalm-Zen · Kit
Shrinks Qwen3.8-27B to a 3-bit IQ3_S GGUF with retrained scales. A research file for people who study quantization, not a faithful stand-in for the original mo…
Jackrong · Kit
Cuts reasoning time and cost for long agent tasks, as a GGUF build of a Qwen3.8-27B fine-tune. Made for people who run agent loops on their own machine and wan…
IteraCompute · Kit
Serves Qwen3.8-27B in NVFP4 on one RTX 5090 with vLLM, with a checksum-verified download, FP8 KV cache, tool calls and reasoning support. For developers self-h…
IFM · Kit
GGUF files of the 3.7B K2-Horizon text model in six precision levels, from BF16 to Q4_K_M, for running with llama.cpp. The model has a 512K-token context windo…
humain-ai · Kit
Answers questions and follows instructions in Arabic and English. A 7B model trained from scratch by the National Center for Artificial Intelligence at SDAIA,…
HuggingFaceH4 · Kit
Chats as a helpful assistant, built by tuning Mistral-7B with direct preference optimization. For developers and hobbyists who want a small open chat model the…
HiDream-ai · Kit
Generates images from text prompts with a 17B-parameter open model that scores at the top of the card's prompt-following tables. For designers, marketers and d…
FINAL-Bench · Kit
Reads a situation and a set of typed questions, then returns a probability for every option in one forward pass, with no text generated. For builders adding ca…
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.…