DataWorld-35B-A3B
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
Zhanli-Li · Kit
A Qwen3.6-35B-A3B model tuned with multi-turn agentic reinforcement learning on the DataWorld tasks, for tool-calling agents. For teams serving a large mixture…
unsloth · Kit
Serves Qwen3.6 35B A3B in a fast NVFP4 build by Unsloth for vLLM on NVIDIA GPUs. The card says it has 1.79x the throughput of other NVFP4 builds and fits a 32…
unsloth · Kit
Handles agentic coding and image-plus-text tasks locally, as Unsloth's GGUF files for Qwen3.6-27B with thinking preservation and a long context. For developers…
mlx-community · Kit
A 4-bit MLX conversion of Qwen3.6-35B-A3B that answers text and image prompts on Apple Silicon Macs. Made for people who want to run this Qwen model locally wi…
ISTA-DASLab · Kit
A 2-bit quantized copy of Qwen3.6-35B-A3B made with GSQ, a Gumbel-Softmax method, that keeps most reasoning and coding ability at a much smaller memory footpri…
hesamation · Kit
Runs a reasoning-tuned Qwen3.6-35B-A3B on your own machine as GGUF files in four quant sizes, trained on Claude Opus 4.6 style reasoning data. For people who w…
crucible-labs · Kit
Runs a pruned and quantized Qwen3.6-35B-A3B in an 8.78 GiB GGUF file for llama.cpp, closer to the unquantized weights than the first release. For people with l…
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.
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…
mlx-community · Kit
8-bit MLX conversion of Qwen3.6-35B-A3B that reads text and images and answers in text, run with the mlx-vlm tool. For developers who want to run a large visio…
lododoai · Kit
Runs as a local text model, a Qwen3.6-35B-A3B fine-tune trained on data written by Qwen3.8-27B and packed as one GGUF file for llama.cpp. For people who run mo…
Jundot · Kit
A mixed-precision MLX copy of Qwen3.6-35B-A3B at about 6.8 bits per weight, with the vision encoder and multi-token prediction head included, for running local…
byteshape · Kit
Runs Qwen3.6-35B-A3B from a GGUF quantization with Multi-Token Prediction for faster GPU decoding in llama.cpp. Made by ByteShape for people running local mode…
ragentile · Kit
Writes GPU kernels and improves their speed through repeated tries against a test environment. A mixture-of-experts model trained from Qwen3.6-35B-A3B with rei…
chtisgit · Kit
Runs a 35B Qwen model in a 2-bit GSQ GGUF conversion with a separate vision projector for llama.cpp. For people who want a large model in a small file on CPU o…
byteshape · Kit
Quantized GGUF versions of Qwen3.6-35B-A3B that read images and text, with CPU and GPU variants from about 9 GB, made with ByteShape's ShapeLearn. For develope…
anik-jha · Kit
Writes code with Qwen3.6-35B-A3B cut to half its experts and packed as GGUF files for llama.cpp. Made for developers who want a coding model that fits in less…
Qwen · Kit
Reads text and images and writes text, as an FP8 copy of Qwen3.6-35B-A3B with 3B active parameters. For developers who run coding agents and want a smaller dow…
Qwen · Kit
A 27B Qwen model that reads text and images and replies in text, tuned for coding agents and repository-level work, for developers who run it with the transfor…
MemTensor · Kit
Language model with a built-in memory state of fixed size, built on Qwen3.6-35B-A3B, that keeps past context without re-reading it. For researchers and develop…