20+ models
Alibaba's performant long context models for agentic and coding tasks.
Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Qwen 3.8 27B, Distilled against Opus 5.5, GPT 6 Astra, and Grok 4.7
Qwen3 Coder 30B A3B Unsloth Dynamic 2.0 GGUF MoE
Qwen3 Coder 30B A3B 1M Unsloth Dynamic 2.0 GGUF MoE
Qwen3.5 Claude Coder — local coding agents A family of custom models built on **Qwen3.5**, tuned to act as **autonomous coding and administration agents**.
A custom model built on Qwen3.6-35B-A3B (abliterated), tuned to act as an autonomous coding and administration agent. It speaks the Anthropic-compatible API, so it drives Claude Code fully locally — your code never leaves your machine.
Pruned to 184e version of 35b-a3b with LCB and MultiPL-E HE targeting for Coding
Qwen3.6-35B-A3B MoE coding agent for Claude Code / Codex / opencode, 64K context, native tool-calling, honest tool use, safety guardrails intact
Code-targeted 184-of-256 expert cut of Qwen3.6-35B-A3B, LCB + MultiPL-E/HumanEval targeted, with MTP self-speculative decoding and vision tags. LCB v6 72.73 vs 61.04 base
Custom model for coding with agents to use locally with 16gb GPUs (working very fine...)
A Quantized, Fine-Tuned Model for Enhanced Tool Calling, Code Generation, and Reasoning
Four-way omnimerge_v2 over Qwen3.5-9B (DeltaCoder 0.55 / Qwopus 0.30 / Ornith 0.15), built for multi-turn agentic coding: it keeps a task moving across turns and tool calls instead of re-issuing the same call. 9B dense, MTP head