Qwen3.8-27B

Qwen3.8-27B

Alibaba
Tinker

Tinker

Thinking Machines Lab
+
+

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About

Qwen3.8-27B is an announced 27-billion-parameter model in Alibaba’s Qwen3.8 family, positioned as the compact open-weight counterpart to the much larger Qwen3.8-Max. Qwen introduced the broader Qwen3.8 generation as a new frontier model family focused on coding, agentic work, multimodal understanding, and long-running autonomous tasks. The 27B release is intended to bring that generation to a size that is far more practical for local deployment, experimentation, fine-tuning, and integration into developer workflows. Qwen has confirmed that Qwen3.8-27B will be released with open weights, extending the company’s line of downloadable mid-sized models for users who want direct control over inference and deployment. At the time of announcement, Qwen had not yet published the model card, benchmark table, architecture details, context length, quantization options, or complete deployment guidance for the 27B checkpoint.

About

Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Local AI application developers who want a compact open-weight model for coding, agents, multimodal work, and self-hosted experimentation

Audience

AI researchers and ML engineers requiring a solution to experiment with fine-tuning open source language models while outsourcing infrastructure complexity

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Company Information

Thinking Machines Lab
United States
thinkingmachines.ai/tinker/

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab
Qwen3.6

Qwen3.6

Alibaba
Qwen2

Qwen2

Alibaba
Qwen3.5

Qwen3.5

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba
LLaMA-Factory

LLaMA-Factory

hoshi-hiyouga

Categories

Categories

Integrations

Python
Qwen
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Hermes Agent
Hugging Face
Inkling
Inkling-Small
Llama 3
Llama 3.2
Llama 3.3
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Qwen3
QwenCloud

Integrations

Python
Qwen
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Hermes Agent
Hugging Face
Inkling
Inkling-Small
Llama 3
Llama 3.2
Llama 3.3
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Qwen3
QwenCloud
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