GigaChat3.5-432B-A28B
ai-sage · Kit
Generates text in Russian and English for chat, code, reasoning and tool use. A 432B Mixture-of-Experts model with 28B active parameters, aimed at teams that h…
ai-sage · Kit
Generates text in Russian and English for chat, code, reasoning and tool use. A 432B Mixture-of-Experts model with 28B active parameters, aimed at teams that h…
ai-sage · Kit
Chats in Russian and English, writes code and calls functions, as a compact mixture of experts model in GGUF files. For people who run assistants on their own…
AhmedReda25300 · Kit
Picks the best answer label from a short Arabic situation, a question and optional choices. Made for developers who route or decide Arabic tasks with a small 0…
agentionai · Kit
Packs Qwen3.8-27B as llama.cpp GGUF files in eight sizes from 8.95 to 16.35 GiB, plus a vision projector. The author reports less drift from the BF16 model tha…
Accio-Lab · Kit
An open 35B image and text model from Accio-Lab, based on Qwen3.6-35B-A3B, in BF16, GGUF, FP8, NVFP4 and MLX formats. For teams that serve a large model.
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…
0xKitkat · Kit
Squeezes the Qwen3.8-Flash-Next mixture-of-experts model into about 37 GiB of text-only GGUF files for experiments. It needs a patched llama.cpp build that com…
ZelligeAI · Kit
Runs coding-agent loops with a 27B model that thinks in a compressed English and Chinese shorthand, so it spends fewer thinking tokens per turn. For developers…
ZBox008003 · Kit
Audits a multi-agent run while it unfolds and flags the earliest decisive error, naming the step, the agent and a short reason. For developers who build and de…
ykarout · Kit
A Q4_K_M GGUF of the 35B Sage-A1.5 model made for the Strata inference engine, fitting a full 262K context on a 16 GB graphics card plus 64 GB of RAM. For peop…
webbrain-one · Kit
Runs Qwen3.5-9B squeezed to ternary weights in a roughly 2 GB GGUF file, for CPU use in two llama.cpp variants. A research preview for people who experiment wi…
unsloth · Kit
Codes and reasons with Qwen3.6 27B in GGUF files by Unsloth that carry multi-token prediction, which the card says speeds up replies about 1.5 to 2 times with…
unsloth · Kit
Runs the small Qwen3.5 0.8B vision-language model in llama.cpp with multi-token prediction for faster generation, as Unsloth's GGUF files. For developers testi…
unsloth · Kit
Runs a 30B agent model locally that reads text and images, calls tools and retries failed calls, from Unsloth's GGUF files. For developers building local agent…
unsloth · Kit
Follows instructions, calls tools and chats with IBM's Granite 4.1 8B model, in GGUF files by Unsloth that include chat template fixes. Made for business assis…
unsloth · Kit
Runs Google's Gemma 4 31B instruction model from Unsloth's 4-bit QAT GGUF files, with an included drafter for faster speculative decoding in llama.cpp. For peo…
TokenRhythm · Kit
A 9B text model post-trained from Qwen3.5-9B for agent frameworks, tool use, coding and instruction following, released as text-only weights. For developers wh…
taobao-mnn · Kit
A pre-trained base language model of about 300M parameters for Chinese and English, designed with the MNN inference engine for on-device use, as a start for fu…
reflection · Kit
Reads and writes text with a 1M-token context, built for coding, agent tool use and math reasoning, as a 501B-parameter mixture-of-experts model in NVFP4 form.…
RecursiveSI · Kit
A 4-bit NVFP4 copy of the Recursive Flint text model as one GGUF file, built for NVIDIA GPUs through llama.cpp. For developers running a large local model with…