Qwen3.8-27B
A dense vision-language model for coding, reasoning, and agent tasks, with image and video understanding.
What do you want to do?
Choose a task. Get the software, files, settings, and steps to run it.
Set up private chat with Qwen3.8-27B
Run a private local chat using Ollama with Qwen3.8-27B, send a first prompt, and confirm the model responds.
Build a local AI agent with Qwen3.8 27B
Run Qwen3.8 with Ollama, connect Hermes Agent, and produce a source-checked local project review on your machine or a private rental.
Build a private coding assistant with Qwen3.8 27B
Run Qwen3.8 27B with Ollama, connect it to Cline in VS Code, and make one reviewable code change in a tiny local project.
Open a guide for its software, hardware requirements, and setup steps.
At a glance
- Parameters
- 27B
- Architecture
- Dense vision-language
- Context length
- 262,144 native
- License
- Apache 2.0
- Disk space
- 18 GB
- Software
- Ollama, MLX, Transformers, vLLM, SGLang
Will it run on your machine?
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Add my hardwareWays to run it
Ollama · Windows, macOS, Linux
Ollama lists an 18 GB package. The hardware estimate covers text-only use, not the extra cost of image or video input.
ollama run qwen3.8:27bExplore its uses
Keep exploring
Qwen2.5 Coder · 7B
Code generation, repair, and reasoning in a compact open-weight coding model.
Mistral Small 4 · 119B
Mistral Small 4 119B A6B is an Apache-2.0 licensed hybrid model from mistralai that combines general instruction, reasoning, and Devstral-style capabilities in one model. It uses a Mixture-of-Experts architecture with 119B total parameters, 6.5B activated per token, 128 experts with 4 active, and a 256k context length. It supports multimodal input (text and image) with text output, multilingual support across dozens of languages, system prompts, function calling, JSON output, and configurable reasoning effort. The model card also mentions optional efficiency resources: an eagle head for speculative decoding and an NVFP4 checkpoint. It is tagged for vLLM and offered in safetensors format.
Qwen3-Coder-Next · 80B A3B
Qwen3-Coder-Next is an open-weight text-generation model from Qwen/Qwen3-Coder-Next, licensed under apache-2.0. It is designed specifically for coding agents and local development. The model has 80B total parameters with 3B activated parameters, a 262,144-token native context length, and a hybrid architecture combining Gated DeltaNet, Gated Attention, and Mixture-of-Experts layers. It supports only non-thinking mode and does not generate thinking blocks.