Qwen3.5 Max · Ollama

mdq100/qwen3.5

Custom Qwen3.5 variants optimized for 128GB unified memory systems, such as AMD Ryzen AI Max+ 395. On Windows 11, GPU is limited to 96GB (32GB reserved for OS/CPU), requiring context window capped at 131072 tokens (128K) to fit within GPU memory limits.

vision tools thinking

368 Pulls 2 Tags Updated 4 months ago

Omoeba/qwen3-2507-abliterated-max

maximum 256k context length for coding and other long-context tasks

tools 30b

835 Pulls 1 Tag Updated 9 months ago

zdolny/qwen3-coder58k-tools

qwen3-coder with tools calling, context 58k to match full memory 31GB on RTX5090

tools

567 Pulls 1 Tag Updated 11 months ago

fredrezones55/Qwen3.5-APEX

Qwen3.5-35B-A3B APEX GGUF -- A Novel MoE-Aware Mixed-Precision Quantization Technique Brought to you by the LocalAI team -- the creators of LocalAI the open-source AI engine that runs any model - LLMs, vision, image - on any hardware.

vision tools thinking

665 Pulls 2 Tags Updated 3 months ago

rafw007/qwen36-a3b-claude-coder

Qwen3.6-35B-A3B MoE coding agent for Claude Code / Codex / opencode, 64K context, native tool-calling, honest tool use, safety guardrails intact

vision tools thinking

2,624 Pulls 2 Tags Updated 1 month ago

oamazonasgabriel/qwen3.6-35b-a3b

A memory-efficient model configuration of Qwen3.6-35B-A3B using an upstream imatrix-calibrated IQ4_XS quantization and q4_0 KV cache. Designed for 24 GB VRAM

tools thinking

709 Pulls 1 Tag Updated 1 month ago

aratan/qwen3.6-claude-coder-35b-A3b-mlx-Q4KM-abliterated

Muy rapido en RTX 4060 21 a 27 T/S

vision tools thinking

454 Pulls 1 Tag Updated 1 week ago

oamazonasgabriel/qwen3.5-2b-mlx

Compact 1.9B language model in BF16 precision, optimized for MLX workflows. Features thinking/reasoning mode, tool calling, and a massive 262K token context window. Runs on GPUs with 8 GB+ memory.

95 Pulls 1 Tag Updated 1 week ago